<?xml version="1.0" encoding="UTF-8"?>
<?validation-md5-digest 9ec370dc8e3737e817076051d4ca7ecc?>
<worksheet version="2.0.2" xmlns="http://schemas.mathsoft.com/worksheet20" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ws="http://schemas.mathsoft.com/worksheet20" xmlns:ml="http://schemas.mathsoft.com/math20" xmlns:u="http://schemas.mathsoft.com/units10" xmlns:p="http://schemas.mathsoft.com/provenance10">
  <metadata>
    <generator>Mathcad Professional 13.0</generator>
    <userData>
      <title />
      <description />
      <author>Mathsoft Engineering &amp; Education, Inc.</author>
      <company>Mathsoft Engineering &amp; Education, Inc.</company>
      <keywords />
      <revisedBy>*</revisedBy>
    </userData>
    <identityInfo>
      <revision>3</revision>
      <documentID>16cbed49-8536-4bfe-8457-42dbeef34612</documentID>
      <versionID>4d511dc4-e6c5-470c-820d-9609f3daaa2f</versionID>
      <parentVersionID>00000000-0000-0000-0000-000000000000</parentVersionID>
      <branchID>00000000-0000-0000-0000-000000000000</branchID>
      <comment />
    </identityInfo>
  </metadata>
  <settings>
    <presentation>
      <textRendering>
        <textStyles>
          <textStyle name="Normal">
            <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit" />
            <inlineAttr font-family="Times New Roman" font-charset="0" font-size="12" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline" />
          </textStyle>
        </textStyles>
      </textRendering>
      <mathRendering equation-color="#000">
        <operators multiplication="narrow-dot" derivative="derivative" literal-subscript="small" definition="colon-equal" global-definition="triple-equal" local-definition="left-arrow" equality="bold-equal" symbolic-evaluation="right-arrow" />
        <mathStyles>
          <mathStyle name="Variables" font-family="Times New Roman" font-charset="0" font-size="12" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="Constants" font-family="Times New Roman" font-charset="0" font-size="12" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 1" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 2" font-family="Courier New" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 3" font-family="System" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 4" font-family="Script" font-charset="255" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 5" font-family="Roman" font-charset="255" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 6" font-family="Modern" font-charset="255" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="User 7" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" />
          <mathStyle name="Math Text Font" font-family="Times New Roman" font-charset="0" font-size="14" font-weight="normal" font-style="normal" underline="false" />
        </mathStyles>
        <dimensionNames mass="mass" length="length" time="time" current="charge" thermodynamic-temperature="temperature" luminous-intensity="luminosity" amount-of-substance="substance" />
        <symbolics derivation-steps-style="vertical-insert" show-comments="false" evaluate-in-place="false" />
        <results>
          <general precision="5" show-trailing-zeros="false" radix="dec" complex-threshold="10" exponential-threshold="3" imaginary-value="i" zero-threshold="15" />
          <matrix display-style="auto" expand-nested-arrays="false" />
          <unit format-units="false" simplify-units="false" fractional-unit-exponent="false" />
        </results>
      </mathRendering>
      <pageModel show-page-frame="false" show-header-frame="false" show-footer-frame="false" header-footer-start-page="1" paper-code="1" orientation="portrait" print-single-page-width="false" page-width="612" page-height="792">
        <margins left="86.4" right="27.6" top="12" bottom="39.6" />
        <header use-full-page-width="false" />
        <footer use-full-page-width="false" />
      </pageModel>
      <colorModel background-color="#fff" default-highlight-color="#ffff80" />
      <language math="EN" UI="EN" />
    </presentation>
    <calculation>
      <builtInVariables array-origin="0" convergence-tolerance="0.001" constraint-tolerance="0.001" random-seed="1" prn-precision="4" prn-col-width="8" />
      <calculationBehavior automatic-recalculation="true" matrix-strict-singularity-check="true" optimize-expressions="false" exact-boolean="false" strings-use-origin="false" zero-over-zero="0">
        <compatibility multiple-assignment="MC12" local-assignment="MC12" />
      </calculationBehavior>
      <units>
        <currentUnitSystem name="mks" customized="false" />
      </units>
    </calculation>
    <editor protection-level="none" view-annotations="false" view-regions="false">
      <ruler is-visible="false" ruler-unit="in" />
      <plotTemplate>
        <xy item-idref="1" />
      </plotTemplate>
      <grid granularity-x="6" granularity-y="6" />
    </editor>
    <fileFormat screen-dpi="96" image-type="image/png" image-quality="75" save-numeric-results="true" exclude-large-results="false" save-text-images="false" />
    <miscellaneous>
      <handbook handbook-region-tag-ub="1221" can-delete-original-handbook-regions="true" can-delete-user-regions="true" can-print="true" can-copy="true" can-save="true" file-permission-mask="4294967295" />
    </miscellaneous>
  </settings>
  <regions>
    <region region-id="1165" left="6" top="6" width="55.5" height="43.5" align-x="6" align-y="6" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <png item-idref="2" display-width="54" display-height="42" />
      <link href="./feature.xmcd" title="Links to Feature Extraction" popup="false" />
      <rendering item-idref="3" />
    </region>
    <region region-id="1142" left="66" top="6.75" width="136.5" height="14.25" align-x="66" align-y="18" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="0" text-align="inherit" list-style-type="none" tabs="inherit">
          <b>
            <c val="#008080">FEATURE EXTRACTION</c>
          </b>
        </p>
      </text>
    </region>
    <region region-id="865" left="66" top="27.75" width="201.75" height="18" align-x="66" align-y="42" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">
          <f size="16">
            <b>
              <c val="#800080">Euclidean Distance Transform</c>
            </b>
          </f>
        </p>
      </text>
      <indexes>
        <phrase>Euclidian Distance Transform</phrase>
      </indexes>
    </region>
    <region region-id="304" left="6" top="54" width="344.25" height="5.25" align-x="6" align-y="54" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <png item-idref="4" display-width="342.75" display-height="3.75" />
      <rendering item-idref="5" />
    </region>
    <region region-id="125" left="6" top="90.75" width="159" height="14.25" align-x="6" align-y="102" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">
          <b>
            <c val="#800000">Function Definitions and Syntax</c>
          </b>
        </p>
      </text>
    </region>
    <region region-id="342" left="6" top="108.75" width="82.5" height="14.25" align-x="6" align-y="120" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">
          <b>
            <inlineAttr font-style="normal">
              <c val="#800000">distform(M, fg)</c>
            </inlineAttr>
          </b>
        </p>
      </text>
      <indexes>
        <phrase>distform function</phrase>
      </indexes>
    </region>
    <region region-id="588" left="6" top="126.75" width="335.25" height="57" align-x="6" align-y="138" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">This function performs a Euclidean distance transform of a binary image. The output matrix values represent the distance from each pixel to the nearest foreground pixel. Distance transformation is frequently used for matching two images or computing the edge distance between two images.</p>
      </text>
    </region>
    <region region-id="1147" left="6" top="192.75" width="159" height="14.25" align-x="6" align-y="204" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">
          <b>
            <c val="#800000">Arguments</c>
          </b>
        </p>
      </text>
    </region>
    <region region-id="1148" left="6" top="210" width="252" height="30" align-x="6" align-y="222" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="14.25" margin-right="0" text-indent="-14.25" text-align="left" list-style-type="none" tabs="inherit">
          <f family="Times New Roman" charset="0" size="14">
            <b>
              <inlineAttr line-through="false">
                <c val="#008080">•</c>
              </inlineAttr>
            </b>
          </f>
          <f family="Times New Roman" charset="0" size="14">
            <b>
              <inlineAttr line-through="false">
                <sp />
              </inlineAttr>
            </b>
          </f>
          <f family="Times New Roman" charset="0">
            <inlineAttr line-through="false">
              <b>M</b>
            </inlineAttr>
          </f>, the image matrix</p>
        <p style="Normal" margin-left="14.25" margin-right="0" text-indent="-14.25" text-align="left" list-style-type="none" tabs="inherit">
          <b>
            <c val="#008080">
              <f size="14">•</f>
            </c>
          </b>
          <f size="14">
            <b>
              <sp />
            </b>
          </f>
          <f family="Times New Roman" charset="0">
            <inlineAttr font-style="normal" line-through="false">fg</inlineAttr>
          </f>, the intensity value of foreground pixels</p>
      </text>
    </region>
    <region region-id="640" left="6" top="246.75" width="354" height="28.5" align-x="6" align-y="258" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">The function returns an image matrix which contains the approximate Euclidean distance transform for a binary image.</p>
      </text>
      <indexes>
        <phrase>binary image</phrase>
      </indexes>
    </region>
    <region region-id="1122" left="0" top="294" width="4800" height="6" align-x="0" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <pageBreak />
    </region>
    <region region-id="886" left="6" top="306.75" width="81.75" height="14.25" align-x="6" align-y="318" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">
          <b>
            <c val="#800000">Function Details</c>
          </b>
        </p>
      </text>
    </region>
    <region region-id="1149" left="114" top="306.75" width="84" height="14.25" align-x="114" align-y="318" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">
          <b>
            <inlineAttr font-style="normal">
              <c val="#800000">distform(M, fg)</c>
            </inlineAttr>
          </b>
        </p>
      </text>
    </region>
    <region region-id="1125" left="6" top="324.75" width="348" height="28.5" align-x="6" align-y="336" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Calculates the distance transform of M, considering pixels with value fg to be foreground pixels.</p>
      </text>
    </region>
    <region region-id="1129" left="6" top="360.75" width="167.25" height="14.25" align-x="6" align-y="372" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">To illustrate, let's try a small example:</p>
      </text>
    </region>
    <region region-id="1126" left="30" top="381.75" width="110.25" height="57.75" align-x="48.75" align-y="414" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">M</ml:id>
          <ml:matrix rows="3" cols="3">
            <ml:real>130</ml:real>
            <ml:real>150</ml:real>
            <ml:real>100</ml:real>
            <ml:real>100</ml:real>
            <ml:real>100</ml:real>
            <ml:real>40</ml:real>
            <ml:real>65</ml:real>
            <ml:real>90</ml:real>
            <ml:real>50</ml:real>
          </ml:matrix>
        </ml:define>
      </math>
      <rendering item-idref="6" />
    </region>
    <region region-id="1127" left="24" top="447.75" width="188.25" height="57.75" align-x="112.5" align-y="480" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">distform</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">M</ml:id>
              <ml:real font="0">100</ml:real>
            </ml:sequence>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:matrix rows="3" cols="3">
              <ml:real>1</ml:real>
              <ml:real>1</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>1</ml:real>
              <ml:real>1</ml:real>
              <ml:real>1</ml:real>
              <ml:real>1.4142135623730952</ml:real>
            </ml:matrix>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="7" />
    </region>
    <region region-id="968" left="6" top="516.75" width="315.75" height="75.75" align-x="6" align-y="528" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">In this example, the value of each output pixel is the distance to the closest input foreground (value 100) pixel. For input foreground pixels, the output distance is zero; for horizontal and vertical neighbors, the distance is 1; for diagonal neighbors, the distance is <region region-id="969" left="6" top="573.75" width="77.25" height="18" align-x="28.5" align-y="587.25" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""><math optimize="false" disable-calc="false"><ml:eval><ml:apply><ml:sqrt /><ml:real>2</ml:real></ml:apply><result xmlns="http://schemas.mathsoft.com/math20"><ml:real>1.4142135623730952</ml:real></result></ml:eval></math><rendering item-idref="8" /></region><f family="Times New Roman" charset="0" size="12"><inlineAttr font-weight="normal" font-style="normal" underline="false" line-through="false">. </inlineAttr></f></p>
      </text>
    </region>
    <region region-id="970" left="0" top="606" width="6000" height="6" align-x="0" align-y="606" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <pageBreak />
    </region>
    <region region-id="972" left="6" top="618.75" width="329.25" height="28.5" align-x="6" align-y="630" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">As another example of distance transform, we consider an image with a single, nonzero pixel:</p>
      </text>
    </region>
    <region region-id="973" left="48" top="654.75" width="42.75" height="15.75" align-x="58.5" align-y="666" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">i</ml:id>
          <ml:range>
            <ml:real>0</ml:real>
            <ml:real>9</ml:real>
          </ml:range>
        </ml:define>
      </math>
      <rendering item-idref="9" />
    </region>
    <region region-id="974" left="114" top="654.75" width="44.25" height="15.75" align-x="126" align-y="666" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">j</ml:id>
          <ml:range>
            <ml:real>0</ml:real>
            <ml:real>9</ml:real>
          </ml:range>
        </ml:define>
      </math>
      <rendering item-idref="10" />
    </region>
    <region region-id="976" left="78" top="684.75" width="57.75" height="17.25" align-x="119.25" align-y="696" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:apply>
            <ml:indexer />
            <ml:id xml:space="preserve">pimg</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">i</ml:id>
              <ml:id xml:space="preserve">j</ml:id>
            </ml:sequence>
          </ml:apply>
          <ml:real>0</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="11" />
    </region>
    <region region-id="977" left="156" top="684.75" width="63" height="17.25" align-x="202.5" align-y="696" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define warning="WarnRedefinedUDScalar">
          <ml:apply>
            <ml:indexer />
            <ml:id xml:space="preserve">pimg</ml:id>
            <ml:sequence>
              <ml:real>4</ml:real>
              <ml:real>4</ml:real>
            </ml:sequence>
          </ml:apply>
          <ml:real>1</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="12" />
    </region>
    <region region-id="979" left="78" top="714.75" width="120.75" height="15.75" align-x="108" align-y="726" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">dimg</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">distform</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">pimg</ml:id>
              <ml:real>1</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="13" />
    </region>
    <region region-id="1151" left="78" top="744" width="239.25" height="121.5" align-x="107.25" align-y="804" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:id xml:space="preserve">pimg</ml:id>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:matrix rows="10" cols="10">
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>1</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
              <ml:real>0</ml:real>
            </ml:matrix>
          </result>
        </ml:eval>
        <resultFormat>
          <general precision="3" show-trailing-zeros="false" radix="dec" complex-threshold="10" exponential-threshold="3" />
          <matrix display-style="auto" expand-nested-arrays="false" />
          <unit format-units="false" simplify-units="false" />
          <table item-idref="14" />
        </resultFormat>
      </math>
      <rendering item-idref="15" />
    </region>
    <region region-id="985" left="12" top="892.5" width="328.5" height="136.5" align-x="41.25" align-y="960" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:id xml:space="preserve">dimg</ml:id>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:matrix rows="10" cols="10">
              <ml:real>5.6568542494923806</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>4</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>5.2426406871192857</ml:real>
              <ml:real>5.6568542494923806</ml:real>
              <ml:real>6.65685424949238</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>4.2426406871192857</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>3</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>3.8284271247461903</ml:real>
              <ml:real>4.2426406871192857</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>6.2426406871192848</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>2.8284271247461903</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>2</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>2.8284271247461903</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>5.82842712474619</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>1.4142135623730952</ml:real>
              <ml:real>1</ml:real>
              <ml:real>1.4142135623730952</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>5.4142135623730949</ml:real>
              <ml:real>4</ml:real>
              <ml:real>3</ml:real>
              <ml:real>2</ml:real>
              <ml:real>1</ml:real>
              <ml:real>0</ml:real>
              <ml:real>1</ml:real>
              <ml:real>2</ml:real>
              <ml:real>3</ml:real>
              <ml:real>4</ml:real>
              <ml:real>5</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>1.4142135623730952</ml:real>
              <ml:real>1</ml:real>
              <ml:real>1.4142135623730952</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>5.4142135623730949</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>2.8284271247461903</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>2</ml:real>
              <ml:real>2.4142135623730949</ml:real>
              <ml:real>2.8284271247461903</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>5.82842712474619</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>4.2426406871192857</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>3</ml:real>
              <ml:real>3.4142135623730949</ml:real>
              <ml:real>3.82842712474619</ml:real>
              <ml:real>4.2426406871192857</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>6.2426406871192848</ml:real>
              <ml:real>5.6568542494923806</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>4</ml:real>
              <ml:real>4.4142135623730949</ml:real>
              <ml:real>4.82842712474619</ml:real>
              <ml:real>5.2426406871192848</ml:real>
              <ml:real>5.6568542494923806</ml:real>
              <ml:real>6.65685424949238</ml:real>
              <ml:real>6.65685424949238</ml:real>
              <ml:real>6.2426406871192848</ml:real>
              <ml:real>5.82842712474619</ml:real>
              <ml:real>5.4142135623730949</ml:real>
              <ml:real>5</ml:real>
              <ml:real>5.4142135623730949</ml:real>
              <ml:real>5.82842712474619</ml:real>
              <ml:real>6.2426406871192848</ml:real>
              <ml:real>6.65685424949238</ml:real>
              <ml:real>7.0710678118654755</ml:real>
            </ml:matrix>
          </result>
        </ml:eval>
        <resultFormat>
          <general precision="3" show-trailing-zeros="false" radix="dec" complex-threshold="10" exponential-threshold="3" />
          <matrix display-style="auto" expand-nested-arrays="false" />
          <unit format-units="false" simplify-units="false" />
          <table item-idref="16" />
        </resultFormat>
      </math>
      <rendering item-idref="17" />
    </region>
    <region region-id="1061" left="6" top="1044.75" width="351" height="28.5" align-x="6" align-y="1056" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">The distance increases monotonically as we move away from the foreground pixel (the center pixel) in the input image. </p>
      </text>
    </region>
    <region region-id="1199" left="6" top="1086.75" width="349.5" height="66.75" align-x="6" align-y="1098" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">The distance transform produces an approximately Euclidean distance. In the above example, we can see that the exact Eulidean distance transform</p>
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">output for matrix location (0,1) should be: <region region-id="991" left="196.5" top="1115.25" width="129.75" height="23.25" align-x="304.5" align-y="1134" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""><math optimize="false" disable-calc="false"><ml:eval><ml:apply><ml:sqrt /><ml:apply><ml:plus /><ml:apply><ml:pow /><ml:parens><ml:apply><ml:minus /><ml:real>4</ml:real><ml:real>0</ml:real></ml:apply></ml:parens><ml:real>2</ml:real></ml:apply><ml:apply><ml:pow /><ml:parens><ml:apply><ml:minus /><ml:real>4</ml:real><ml:real>1</ml:real></ml:apply></ml:parens><ml:real>2</ml:real></ml:apply></ml:apply></ml:apply><result xmlns="http://schemas.mathsoft.com/math20"><ml:real>5</ml:real></result></ml:eval></math><rendering item-idref="18" /></region><f family="Times New Roman" charset="0" size="12"><inlineAttr font-weight="normal" font-style="normal" underline="false" line-through="false">, </inlineAttr></f><f family="Times New Roman" charset="0" size="12"><inlineAttr font-weight="normal" font-style="normal" underline="false" line-through="false">whereas in our output image the value is 5.24264. </inlineAttr></f></p>
      </text>
    </region>
    <region region-id="1063" left="0" top="1164" width="6000" height="6" align-x="0" align-y="1164" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <pageBreak />
    </region>
    <region region-id="1066" left="6" top="1176.75" width="343.5" height="14.25" align-x="6" align-y="1188" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Now, let us examine the distance transform for an image of a circular object.</p>
      </text>
    </region>
    <region region-id="1067" left="6" top="1194.75" width="170.25" height="14.25" align-x="6" align-y="1206" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Let us first create an image of a circle:</p>
      </text>
    </region>
    <region region-id="807" left="42" top="1218.75" width="57.75" height="15.75" align-x="71.25" align-y="1230" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">imax</ml:id>
          <ml:real>100</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="19" />
    </region>
    <region region-id="808" left="108" top="1218.75" width="57.75" height="15.75" align-x="118.5" align-y="1230" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define warning="WarnRedefinedUDScalar">
          <ml:id xml:space="preserve">i</ml:id>
          <ml:range>
            <ml:real>0</ml:real>
            <ml:id xml:space="preserve">imax</ml:id>
          </ml:range>
        </ml:define>
      </math>
      <rendering item-idref="20" />
    </region>
    <region region-id="809" left="180" top="1218.75" width="59.25" height="15.75" align-x="192" align-y="1230" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define warning="WarnRedefinedUDScalar">
          <ml:id xml:space="preserve">j</ml:id>
          <ml:range>
            <ml:real>0</ml:real>
            <ml:id xml:space="preserve">imax</ml:id>
          </ml:range>
        </ml:define>
      </math>
      <rendering item-idref="21" />
    </region>
    <region region-id="1002" left="42" top="1242.75" width="34.5" height="15.75" align-x="54" align-y="1254" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">r</ml:id>
          <ml:real>15</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="22" />
    </region>
    <region region-id="1003" left="108" top="1242.75" width="41.25" height="15.75" align-x="126.75" align-y="1254" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">cx</ml:id>
          <ml:real>50</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="23" />
    </region>
    <region region-id="1004" left="168" top="1242.75" width="41.25" height="15.75" align-x="186.75" align-y="1254" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">cy</ml:id>
          <ml:real>50</ml:real>
        </ml:define>
      </math>
      <rendering item-idref="24" />
    </region>
    <region region-id="997" left="42" top="1261.5" width="200.25" height="22.5" align-x="69.75" align-y="1278" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define warning="WarnRedefinedBIUnit">
          <ml:apply>
            <ml:indexer />
            <ml:id xml:space="preserve">C</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">i</ml:id>
              <ml:id xml:space="preserve">j</ml:id>
            </ml:sequence>
          </ml:apply>
          <ml:apply>
            <ml:id xml:space="preserve">if</ml:id>
            <ml:sequence>
              <ml:apply>
                <ml:lessOrEqual />
                <ml:apply>
                  <ml:plus />
                  <ml:apply>
                    <ml:pow />
                    <ml:parens>
                      <ml:apply>
                        <ml:minus />
                        <ml:id xml:space="preserve">i</ml:id>
                        <ml:id xml:space="preserve">cx</ml:id>
                      </ml:apply>
                    </ml:parens>
                    <ml:real>2</ml:real>
                  </ml:apply>
                  <ml:apply>
                    <ml:pow />
                    <ml:parens>
                      <ml:apply>
                        <ml:minus />
                        <ml:id xml:space="preserve">j</ml:id>
                        <ml:id xml:space="preserve">cy</ml:id>
                      </ml:apply>
                    </ml:parens>
                    <ml:real>2</ml:real>
                  </ml:apply>
                </ml:apply>
                <ml:apply>
                  <ml:pow />
                  <ml:id xml:space="preserve">r</ml:id>
                  <ml:real>2</ml:real>
                </ml:apply>
              </ml:apply>
              <ml:real>1</ml:real>
              <ml:real>0</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="25" />
    </region>
    <region region-id="1011" left="42" top="1290.75" width="109.5" height="15.75" align-x="74.25" align-y="1302" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">Cdist</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">distform</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">C</ml:id>
              <ml:real>1</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="26" />
    </region>
    <region region-id="1210" left="30" top="1326" width="77.25" height="105.75" align-x="67.5" align-y="1326" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="27" disable-calc="false">
        <inputs>
          <ml:apply>
            <ml:id xml:space="preserve">scale</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">C</ml:id>
              <ml:real>0</ml:real>
              <ml:real>255</ml:real>
            </ml:sequence>
          </ml:apply>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="28" />
    </region>
    <region region-id="1211" left="186" top="1326" width="93" height="105.75" align-x="223.5" align-y="1326" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="29" disable-calc="false">
        <inputs>
          <ml:apply>
            <ml:id xml:space="preserve">scale</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">Cdist</ml:id>
              <ml:real>0</ml:real>
              <ml:real>255</ml:real>
            </ml:sequence>
          </ml:apply>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="30" />
    </region>
    <region region-id="1068" left="6" top="1440.75" width="369" height="57" align-x="6" align-y="1452" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">As you can see in the distance transform image, the distance values are zero for all points within the circle and increase monotonically as we move outward, but they are not exactly equal to the Euclidean distance, or the output would be radially symmetric.</p>
      </text>
    </region>
    <region region-id="1069" left="6" top="1506.75" width="345" height="28.5" align-x="6" align-y="1518" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Next we illustrate how to use the distance transform to measure the distance </p>
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">between two binary images of a single object. </p>
      </text>
    </region>
    <region region-id="1025" left="48" top="1542.75" width="177.75" height="15.75" align-x="70.5" align-y="1554" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">D1</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">READ_IMAGE</ml:id>
            <ml:str xml:space="preserve">flower.bmp</ml:str>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="31" />
    </region>
    <region region-id="1075" left="6" top="1566.75" width="235.5" height="14.25" align-x="6" align-y="1578" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">We now create translated versions of this image:</p>
      </text>
    </region>
    <region region-id="1031" left="48" top="1590.75" width="130.5" height="15.75" align-x="70.5" align-y="1602" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">D2</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">translate</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">D1</ml:id>
              <ml:real>4</ml:real>
              <ml:real>5</ml:real>
              <ml:real>0</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="32" />
    </region>
    <region region-id="1034" left="204" top="1590.75" width="142.5" height="15.75" align-x="226.5" align-y="1602" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">D3</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">translate</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">D1</ml:id>
              <ml:real>10</ml:real>
              <ml:real>15</ml:real>
              <ml:real>0</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="33" />
    </region>
    <region region-id="1219" left="12" top="1620" width="97.5" height="105" align-x="60" align-y="1620" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="34" disable-calc="false">
        <inputs>
          <ml:id xml:space="preserve">D1</ml:id>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="35" />
    </region>
    <region region-id="1220" left="126" top="1620" width="97.5" height="105" align-x="174" align-y="1620" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="36" disable-calc="false">
        <inputs>
          <ml:id xml:space="preserve">D2</ml:id>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="37" />
    </region>
    <region region-id="1221" left="252" top="1620" width="97.5" height="105" align-x="300" align-y="1620" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="38" disable-calc="false">
        <inputs>
          <ml:id xml:space="preserve">D3</ml:id>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="39" />
    </region>
    <region region-id="1170" left="6" top="1746.75" width="321" height="28.5" align-x="6" align-y="1758" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">To compute distance between D1 and D2, we first compute the distance transform of D1.</p>
      </text>
    </region>
    <region region-id="1171" left="48" top="1782.75" width="133.5" height="15.75" align-x="86.25" align-y="1794" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">D1dist</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">distform</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">D1</ml:id>
              <ml:real>255</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="40" />
    </region>
    <region region-id="1172" left="0" top="1812" width="6000" height="6" align-x="0" align-y="1812" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <pageBreak />
    </region>
    <region region-id="1173" left="6" top="1824.75" width="342.75" height="42.75" align-x="6" align-y="1836" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">Next we mask the distance transform image with the image D2 (and D3) and compute the mean of the entire image. This represents a measure of the distance between the two images. </p>
      </text>
    </region>
    <region region-id="1175" left="30" top="1872.75" width="147" height="15.75" align-x="155.25" align-y="1884" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">mean</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D1</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="41" />
    </region>
    <region region-id="1134" left="30" top="1896.75" width="180" height="15.75" align-x="155.25" align-y="1908" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">mean</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D2</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0.12527665603784816</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="42" />
    </region>
    <region region-id="1136" left="30" top="1920.75" width="180" height="15.75" align-x="155.25" align-y="1932" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">mean</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D3</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0.61950525894177677</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="43" />
    </region>
    <region region-id="1074" left="6" top="1944.75" width="363" height="156.75" align-x="6" align-y="1956" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">The distance between D1 and D1 is zero, and the distance between D1 and the other images increases with the degree of translation. </p>
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit" />
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">Instead of using the mean in the above formula, if we use the maximum, we get what is known as the Hausdorff distance between the two images. Hausdorff distance between two sets is defined as the the maximum of the closest distance between points in two sets. It is easy to see that masking the distance transform of an image with another image measures the set of closest point distances between two images. Taking the maximum of that set is the Hausdorff distance between the two sets. In the examples above the Hausdorff distance is computed as:</p>
      </text>
      <indexes>
        <phrase>Hausdorff distance</phrase>
      </indexes>
    </region>
    <region region-id="1152" left="24" top="2106.75" width="141.75" height="15.75" align-x="144" align-y="2118" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">max</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D1</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="44" />
    </region>
    <region region-id="1153" left="24" top="2130.75" width="174.75" height="15.75" align-x="144" align-y="2142" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">max</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D2</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>6.65685424949238</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="45" />
    </region>
    <region region-id="1154" left="24" top="2154.75" width="180.75" height="15.75" align-x="144" align-y="2166" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">max</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:id xml:space="preserve">D1dist</ml:id>
                <ml:id xml:space="preserve">D3</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>18.55634918610405</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="46" />
    </region>
    <region region-id="1140" left="0" top="2184" width="4800" height="6" align-x="0" align-y="2184" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <pageBreak />
    </region>
    <region region-id="1079" left="6" top="2196.75" width="351" height="99.75" align-x="6" align-y="2208" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <text use-page-width="false" push-down="false" lock-width="true">
        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">In another application of the distance transform we show how it can be used to compute the distance between two edge images. Computing the distance between two edge images is useful to compare the performance of edge detectors. Once again, we can either use the mean of masked distances or the maximum of the masked distances as a measure of the edge distance. We apply two different edge detectors to the Lena image and measure the overall distance between the edges. </p>
      </text>
      <indexes>
        <phrase>Lena image</phrase>
      </indexes>
    </region>
    <region region-id="633" left="60" top="2304.75" width="171" height="15.75" align-x="86.25" align-y="2316" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">lena</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">READ_IMAGE</ml:id>
            <ml:str xml:space="preserve">lena.bmp</ml:str>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="47" />
    </region>
    <region region-id="1176" left="60" top="2328.75" width="142.5" height="15.75" align-x="81" align-y="2340" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">E1</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">canny</ml:id>
            <ml:sequence>
              <ml:id xml:space="preserve">lena</ml:id>
              <ml:real>0.5</ml:real>
              <ml:real>10</ml:real>
              <ml:real>25</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="48" />
    </region>
    <region region-id="1156" left="60" top="2352.75" width="145.5" height="15.75" align-x="81" align-y="2364" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:define>
          <ml:id xml:space="preserve">E2</ml:id>
          <ml:apply>
            <ml:id xml:space="preserve">binarize</ml:id>
            <ml:sequence>
              <ml:apply>
                <ml:id xml:space="preserve">sobel</ml:id>
                <ml:id xml:space="preserve">lena</ml:id>
              </ml:apply>
              <ml:real>40</ml:real>
            </ml:sequence>
          </ml:apply>
        </ml:define>
      </math>
      <rendering item-idref="49" />
    </region>
    <region region-id="1205" left="18" top="2388" width="193.5" height="222" align-x="114" align-y="2388" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="50" disable-calc="false">
        <inputs>
          <ml:apply>
            <ml:mult style="default" />
            <ml:id xml:space="preserve">E1</ml:id>
            <ml:real>255</ml:real>
          </ml:apply>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="51" />
    </region>
    <region region-id="1204" left="234" top="2388" width="193.5" height="222" align-x="330" align-y="2388" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <component hide-arguments="false" clsid-buddy="8442da2d-08d7-45ad-a4a6-f28bee6ae06a" item-idref="52" disable-calc="false">
        <inputs>
          <ml:apply>
            <ml:mult style="default" />
            <ml:id xml:space="preserve">E2</ml:id>
            <ml:real>255</ml:real>
          </ml:apply>
        </inputs>
        <outputs />
      </component>
      <rendering item-idref="53" />
    </region>
    <region region-id="1161" left="36" top="2622.75" width="219.75" height="15.75" align-x="201" align-y="2634" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">mean</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:apply>
                  <ml:id xml:space="preserve">distform</ml:id>
                  <ml:sequence>
                    <ml:id xml:space="preserve">E1</ml:id>
                    <ml:real>1</ml:real>
                  </ml:sequence>
                </ml:apply>
                <ml:id xml:space="preserve">E2</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0.28495107970873529</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="54" />
    </region>
    <region region-id="1162" left="36" top="2652.75" width="220.5" height="15.75" align-x="195.75" align-y="2664" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <math optimize="false" disable-calc="false">
        <ml:eval>
          <ml:apply>
            <ml:id xml:space="preserve">max</ml:id>
            <ml:apply>
              <ml:id xml:space="preserve">mask</ml:id>
              <ml:sequence>
                <ml:apply>
                  <ml:id xml:space="preserve">distform</ml:id>
                  <ml:sequence>
                    <ml:id xml:space="preserve">E1</ml:id>
                    <ml:real>1</ml:real>
                  </ml:sequence>
                </ml:apply>
                <ml:id xml:space="preserve">E2</ml:id>
              </ml:sequence>
            </ml:apply>
          </ml:apply>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>41.242640687119284</ml:real>
          </result>
        </ml:eval>
      </math>
      <rendering item-idref="55" />
    </region>
    <region region-id="1164" left="6" top="2682" width="436.5" height="5.25" align-x="6" align-y="2682" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
      <png item-idref="56" display-width="435" display-height="3.75" />
      <rendering item-idref="57" />
    </region>
  </regions>
  <binaryContent>
    <item item-id="1" content-encoding="gzip">H4sIAAAAAAAA/2yNvQ6CQBCEdwEV8LexxsTGo+QJLIiViY+gJ+JfQjRIYembn7MLdh7ZY27u
m7kRETHGYmLVPvbpKdtfavu87s+PurJNQLKWmEjt3DZWLVphwqrYHe9l0bTWof2Rt8Dmd/1z
aVUtp9i+b6+NVnvKppicO7ZdDh9x+t/d/nF/5YOmtkWZ5W2z6cCEZ8SGnShmg0uXsMfGRzRh
n03gxAnAkIPogfmscdUXRlIDZSBCYQSOpEfiMRiND8FofARG42N9C2KiDMRUGIG/AAAA//8D
ANMzrFN8AQAA</item>
    <item item-id="2">iVBORw0KGgoAAAANSUhEUgAAAEgAAAA4CAMAAABpEU60AAAAAXNSR0IArs4c6QAAAARnQU1B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=</item>
    <item item-id="3">iVBORw0KGgoAAAANSUhEUgAAAEoAAAA6CAYAAAAX8s+wAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="4">iVBORw0KGgoAAAANSUhEUgAAAckAAAAFCAMAAAAZvOc4AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="5">iVBORw0KGgoAAAANSUhEUgAAAcsAAAAHCAYAAABnX2Y8AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AJJJREFUaEPt2DEOgCAMBdB6c2+uInFwQAaxg7wmLiYMvvy2hmU7KhQBAgQIECDQFijLUhEg
QIAAAQJtgYBDgAABAgQIPAucy3KNuD3XEe+rBAcOJQP6os6J0Q56bLzpbDMrI0OW5QfNP1tQ
fa+fiTdLNGPQyei/M5qRIdew7h4IECBAgEBHwLIUEQIECBAg0BHYAZIO+jK+rjNuAAAAAElF
TkSuQmCC</item>
    <item item-id="6">iVBORw0KGgoAAAANSUhEUgAAAJMAAABNCAYAAACi0VZKAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="7">iVBORw0KGgoAAAANSUhEUgAAAPsAAABNCAYAAABg4RLOAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="8">iVBORw0KGgoAAAANSUhEUgAAAGcAAAAYCAYAAADnNePtAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="9">iVBORw0KGgoAAAANSUhEUgAAADkAAAAVCAYAAAD8dkbIAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AL9JREFUWEftltEOgCAIRev/P7rUpUO75lSExuTJrQkcLpDn5eywbh7Suh3WAUOnbkgjFciU
dPtHHMvH5Iwb/VGf8lSkjFkiTAVGPtUgkXqzitZ8dkHOJkFnQQ2SE6I13CqQvQuADjg6a0A+
r7cUOuXVaqFWsqPfVygZc6GChbNFSAr7evH0zORf2xWJpqYkmp/R1i/vlfslQaKXArrMlQia
H+S77K6vbqstz67/JDeglL8NKVXp1XG2kqsrLOX/BkQl4ALnCimIAAAAAElFTkSuQmCC</item>
    <item item-id="10">iVBORw0KGgoAAAANSUhEUgAAADsAAAAVCAYAAAD4g5b1AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ALtJREFUWEftluEOwBAMhO39H3pDRjo5Q4mazi/Jpr2vR9PjtMtoWQ5WyzJaQP0N/mE3rQB0
1var6bgu58i8IR6NOZ8KlPEhaFChUUxxWORmr8O5mCzYXjHUXHHYkTClxy8K29ooaCNAewnY
eyqMqaMuJObrzgYmapzf7wxLobMTVIuzq15j1ATFnUXvq/TOa7+n/YcF2+I8V1h6Ls35piHX
ZFmwtQCr/acTFg3OqznTq4c1LvYmlTqvCvYCvIp2eu6NIJsAAAAASUVORK5CYII=</item>
    <item item-id="11">iVBORw0KGgoAAAANSUhEUgAAAE0AAAAXCAYAAABOHMIhAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AUFJREFUWEftl9sSgyAMRO3/f3S9jMzEmGRZoVTb+KaEwJ5cwNd7eaZ8OAIrtHw4AhNnntZb
ZSYGnkBC45lxmbZ0ywtLPH/Kqltq/08KRBwPsPakSWgBQKuytqwjoD/CtGcLqYJWjHQNF1pm
qup6V+9ybvEr/bMiWfuWSENoUpAHSUPVEC2o+x/HYe+jhOsgWUGLoEJoljj9zYOCwOjFR0Fr
ybKIx6GneWSj8rTGIthoDAkdCfyrmVZAne47Tv/zwHm9Ftl7ZXolQKfT0xIlHfcqT88nEuGV
TM28qzbm4WcJsCIaRUsfItE7CgwSh8oTjSP/1vhpzy1Rr9mAJ0KexDV+vN7JzO1lCw+C1oV+
Gpp1T2sFJrPDuiN5a0YN/xPlx+q87W8UylBWaE/7W0KLsikzjQg/e0cjXNOmt8w0WsXgCTOR
EnjaBsCeXwAAAABJRU5ErkJggg==</item>
    <item item-id="12">iVBORw0KGgoAAAANSUhEUgAAAFQAAAAXCAYAAACVp2gDAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="13">iVBORw0KGgoAAAANSUhEUgAAAKEAAAAVCAYAAAAuCo7VAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="14" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS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=</item>
    <item item-id="15">iVBORw0KGgoAAAANSUhEUgAAAUQAAACiCAYAAAA5gLTtAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="16" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS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=</item>
    <item item-id="17">iVBORw0KGgoAAAANSUhEUgAAAbsAAAC2CAYAAABAgCN0AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="18">iVBORw0KGgoAAAANSUhEUgAAAK0AAAAfCAYAAACVrU09AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="19">iVBORw0KGgoAAAANSUhEUgAAAE0AAAAVCAYAAAAD1GMqAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
APdJREFUWEftl+sOwyAIhbv3f+itXWrDCLdDyuYM/moVLX5ywD6ee9u6YQQOaN0wAhtm3tZv
ZTYGnEBDw5l9RtqeDRNL/McUa2/HGDK+LqXzLAcQDQrtl2yk8eWhDR14QCQ7bc500KpSRBk0
MRSZ3jX9SzLgfZ5UKrNjCTQKwwIQCWMrTyCRRP2QnhHIJdDO36nLD/4R753C1GwRYAiQiO2U
0Hik8o38EhgPiGhxCBUCRFYZWxTc0vLkABGgEWndYaMdmOWrlrKuK4d2qmOiVSisKukVmG/I
2Kva1EfpgPj4dPe0O6Kqeo2GliDc0BpagkBiSkdaAtoLpMQcG6e+D44AAAAASUVORK5C
YII=</item>
    <item item-id="20">iVBORw0KGgoAAAANSUhEUgAAAE0AAAAVCAYAAAAD1GMqAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ARFJREFUWEftllESwyAIRO3Ne/M22tEiswoYa9qKP4kJQffNgrk9jhF82AhEaD5sBIIt3KNT
ZToGOwGHZmdWO+3ohgMpzn0S15y17qw8kqL1lMiOqMhVgiUgmveXQUOQfgWcCdpMUX8DbSYU
yeafgIbKnffMVg/Nz3kOGl9isjhrQ6aLoPvV0KA4crAheFQ73W+v16Y8rWBJ9Nn3q5ymAcMZ
8L3lebk6tBcB7lRuisp9o9C+rTyzcK2zpBJEXC53miRypPxHQKB9SHlKT0OnR8+iI6LQN9IB
1OovaG+tA4lrs8y7p+csCDvkeTvtXv/nBjbfAYZWYyIVAVFIfK5NtktcgZbhoesuMLQ6Q89h
XqIY4xOZnUb3GxiQlwAAAABJRU5ErkJggg==</item>
    <item item-id="21">iVBORw0KGgoAAAANSUhEUgAAAE8AAAAVCAYAAAAHIbMXAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ARpJREFUWEftmIsOwiAMRfHP/fM5CK1dUyh0DCcriZkorx5ub6OvbW/Bm41AhOfNRiDYpvms
lLGOwU7A4dnZycrb3fPEkrapcc9R+45aR4tkPiXhRDTYWYFrYFq+/zk8Cda/ADTBGxnccvBG
wtHkfwU8yQa4p5Y8Fj7na9DxOIYH12vcdDPp/Wx4YpCkAEoQ4Yz8ImtenNaRgltReS2AKAtJ
RMAFnw7vqB+uXCkz8SLOwrtb2uY/OjCsWipax95GeVoAmmdql2+FV/NGOLPJ867wRK1QaRCo
p5UKF6+kPf2masuVYLn5p8xB5YX3V4SJMuk/BUZvnIlYBJVe+cc59DEVHKTIFeEBxNqz92ZW
Hx8O6ZoVSBXn6VuWwAfw+9jms2mA5gAAAABJRU5ErkJggg==</item>
    <item item-id="22">iVBORw0KGgoAAAANSUhEUgAAAC4AAAAVCAYAAAA5BNxZAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ALJJREFUWEftllkOgCAMRPH+h1YWIYAtDEvAJpD4Zcu8TtmuWw8lcRhwiUNJhLar5IAvduBX
juszgi3f/Eu+xUaRcjEQFUAVJMLxaeCllo50kATMloifP3HcJ/rWjUD05CKGBMZQQVRZi+hn
0zAOIXMi4O9Nn57jaCIC0ROD6luzYgE0sQcKyUH1p4CfpeJeqdXGDG1ORKBKkAVwl1DeUfI4
bBXbGV/vzU66gvYBX90YsY4/RgaRJwHVP8YAAAAASUVORK5CYII=</item>
    <item item-id="23">iVBORw0KGgoAAAANSUhEUgAAADcAAAAVCAYAAADiv3Z7AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AM1JREFUWEftVosKwCAI3P7/o7eKirCHVylUJAxGD/PO03o/Y8+pZsGdas+pwJwiL7hNGdgq
c6bv2eYXP8p5mAvj24CzgbcsnQ//R4ArAXdZ1ConjumecxE5FiVa0y1Nc6rnlu57gh5dS4mD
MtfahDisBUuZ5zKBgC7VWLovkyUnpVioTHEjwc2uEQfn36GzcYnsFwc3mrklZdlih5OwSHoq
TmoNJF7evmyyq6DUCekY0i0lwaMNKO3o9+GsKS9t32ovFO3AEf8XHMLSimt+gg8K2KzoY6sA
AAAASUVORK5CYII=</item>
    <item item-id="24">iVBORw0KGgoAAAANSUhEUgAAADcAAAAVCAYAAADiv3Z7AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ANpJREFUWEftVgEKgCAMtP8/ulRSZOq8TQMdCUHUVne72/S6/XJWVyBndTmrxKIjf3KHVuAo
5fzcC8MvX7Tm6V16fgy5AJxb5ft0b4Jci3hU8at2GlVa8l/Ejk2L9nxLZS79zPleAlobSwsH
KcclIR/sgaWVHymBkG71WJlX2ZKz0gw5BKw0Zim59wwaMazsJympPOaL6amyZasfNeS2tGW3
IoM9R6sGmtfDRVWttoLRJEQticYhhNABNH1CWQkaITYTI9rETyIWZwNSGSo3krNDDERuB6Aa
DKbJPcGiCtixTjeyAAAAAElFTkSuQmCC</item>
    <item item-id="25">iVBORw0KGgoAAAANSUhEUgAAAQsAAAAeCAYAAAA7OTvOAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="26">iVBORw0KGgoAAAANSUhEUgAAAJIAAAAVCAYAAACtzrfuAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="27" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0kBaQ
fsnGwJDKAMH//4NUA5X656Q652Sm5pWA9QBtEYT6BEoC9V44L/hg4UaphwxowA7o6n//ORnY
kMQY4bohzmGC8v/9B9kIAf9HwZACf4H4HxIeBSMLBDHkA2EJgwKDK0MekC5iqEQvCvACMQZW
eJ4HlQe6t5xarnOsdV2y7FP3u6wHWchqJ0hWv34w6SgjM5B9ACrmDLQdZG8qmCwmyW4QEAKW
Qsj+IVZfKpRmYvBnyAHyAoA+TwXabwCGxAMJBiZGUBlIiv2gcBIhwQ5CgBz/wwCs/B7N+yMT
sDFwMhQA2wEgvACaJrhQUgcMsKClnA/2jFAF/+HJrt4Z3Xx0XdgAC9QmkHomUhPwKKAcAAAA
AP//AwAHdfBT4QoAAA==</item>
    <item item-id="28">iVBORw0KGgoAAAANSUhEUgAAAGcAAACNCAYAAACqnmQdAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="29" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF00C8g
/ZKNgSGVAYL//wepBir1z0l1zslMzSsB6wHaIgT1CZQE6r1wXvDBwo1SDxnQgB3Q1f/+czKw
IYkxwnVDnMME5f/7D7IRAv6PgiEF/gLxPyQ8CkYWCGLIB8ISBgUGV4Y8IF3EUIleFOAFYgys
8DwPKg90bzm1XOdY67pk2afud1kPspDVTpCsfv1g0lFGZiD7AFTMGWg7yN5UMFlMkt0gIAQs
hZD9Q6y+VCjNxODPkAPkBQB9ngq03wAMiQcSDEyMoDKQFPtB4SRCgh2EADn+hwFY+T2a90cm
YGPgZCgAtgNAeAE0TXChpA4YYEFLOR/sGaEK/sOTXb0zuvnourABFqhNIPVMpCbgUUA5AAAA
AP//AwCHMFt+4QoAAA==</item>
    <item item-id="30">iVBORw0KGgoAAAANSUhEUgAAAHwAAACNCAYAAAB10B4CAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="31">iVBORw0KGgoAAAANSUhEUgAAAO0AAAAVCAYAAACqjGn7AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="32">iVBORw0KGgoAAAANSUhEUgAAAK4AAAAVCAYAAADfAdVYAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="33">iVBORw0KGgoAAAANSUhEUgAAAL4AAAAVCAYAAAD4r1SwAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="34" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0kBCQ
LuRgYGgA0ilA/P8/SDVQqX9OqnNOZmpeCVgP0BZhqE+gJFDvhfOCDxZulHrIgAbsgK7+95+T
gQ1JjBGuG+IcJij/33+QjRDwfxQMKfAXiP8h4VEwskAQQz4QljAoMLgy5AHpIoZK9KIALxBj
YIXneVB5oHvLqeU6x1rXJcs+db/LepCFrPaCWt3rB5OOMjID2QegYs5A20H2poLJYpLsBgEh
YCmE7B9i9aVCaSYGf4YcIC8A6PNUoP0GYEg8kGBgYgSVgaTYDwonERLsIATI8T8MwMrv0bw/
MgEbAyeDNbDlEQZsCyyApgkulNQBAyxoKeeDPSNUwX94sqt3RjcfXRc2wAK1CaSeidQEPAoo
BwAAAAD//wMAvdtorOEKAAA=</item>
    <item item-id="35">iVBORw0KGgoAAAANSUhEUgAAAIIAAACMCAYAAACwCXGNAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="36" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF00Cog
XcjBwNAApFOA+P9/kGqgUv+cVOeczNS8ErAeoC0iUJ9ASaDeC+cFHyzcKPWQAQ3YAV397z8n
AxuSGCNcN8Q5TFD+v/8gGyHg/ygYUuAvEP9DwqNgZIEghnwgLGFQYHBlyAPSRQyV6EUBXiDG
wArP86DyQPeWU8t1jrWuS5Z96n6X9SALWe0FtbrXDyYdZWQGsg9AxZyBtoPsTQWTxSTZDQJC
wFII2T/E6kuF0kwM/gw5QF4A0OepQPsNwJB4IMHAxAgqA0mxHxROIiTYQQiQ438YgJXfo3l/
ZAI2Bk4Ga2DLIwzYFlgATRNcKKkDBljQUs4He0aogv/wZFfvjG4+ui5sgAVqE0g9E6kJeBRQ
DgAAAAD//wMAv9B4aOEKAAA=</item>
    <item item-id="37">iVBORw0KGgoAAAANSUhEUgAAAIIAAACMCAYAAACwCXGNAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="38" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0UBBQ
fyEHA0MDkJ8CxP//g1QDlfrnpDrnZKbmlYD1AFWJQn0CJYF6L5wXfLBwo9RDBjRgB3T1v/+c
DGxIYoxw3RDnMEH5//6DbISA/6NgSIG/QPwPCY+CkQWCGPKBsIRBgcGVIQ9IFzFUohcFeIEY
Ays8z4PKA91bTi3XOda6Lln2qftd1oMsZLUFa+tfP5h0lJEZyD4AFXMG2g6yNxVMFpNkNwgI
AUshZP8Qqy8VSjMx+DPkAHkBQJ+nAu03AEPigQQDEyOoDCTFflA4iZBgByFAjv9hAFZ+j+b9
kQnYGDgZrIEtjzBgW2ABNE1woaQOGGBBSzkf7BmhCv7Dk129M7r56LqwARaoTSD1TKQm4FFA
OQAAAAD//wMACqJcPuEKAAA=</item>
    <item item-id="39">iVBORw0KGgoAAAANSUhEUgAAAIIAAACMCAYAAACwCXGNAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="40">iVBORw0KGgoAAAANSUhEUgAAALIAAAAVCAYAAADik7Q+AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="41">iVBORw0KGgoAAAANSUhEUgAAAMQAAAAVCAYAAAAZxEHhAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="42">iVBORw0KGgoAAAANSUhEUgAAAPAAAAAVCAYAAAB43GOjAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="43">iVBORw0KGgoAAAANSUhEUgAAAPAAAAAVCAYAAAB43GOjAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AxxJREFUeF7tWoFuYzEI6/7/o7e2WqqUAbaTl9eXiUmn064kGGNDVN3X9/3nVj/FQDGwJwMP
A9dPMVAM7MnAbU/YhboYKAaer+eioRgoBvZloAy8b+8KeTFw7Q18/1bhtBapuVr84+/oDwLP
5uzj2DMod/t8BL8909/l5T0as1obG//7he6rn0otPSdRvoi3Pl7l6jyHKCw+3vYnm1fJ58Wy
/8aIxDZUwSbS/Apn8aO4COsZNURGYHNnccigaMgiDOj+cCiMNnzlOVTsitxsTlWgSBRMLSw2
tAmzXGpd2daYuYvhA8WgIaNsVhvL3m3j2B6yca9eIzI+8blaxBEY2Zwj4hw5M/WsGni9jA4a
VtDt5XFEr9AdCiZ16LF3243MblhWh66B2+GWrC8uAm5j7ZloEmXnsgm5CltEOGukEQOgM30/
IqFZYfS/K2JAWNStNTu0kEnV1wRTX6RJpAHW1MywUHr2HIqZ4TyzZEJCn3lTKDK4JQ0Z1xow
Ij2Ky87PEq+K2RsmbYPN4FdFn9WNNopac9RvO5AYgY8Yiul/9oqIehZxPsPPG1fZdMnMxRKb
DQGPELYwxvhI9F7tzKReuY2Q+BihMSK3NYzWHYma7ePMplXModY3gr/XOurByP2u7mYMjCZ6
A8luR3bCMcbPyLRDpTe62uiZ7YzM6t3tDS52mKF+KYbIdKP08T8ZmNECikHG/zN4VxgYbW4l
Z1TwTA5kjJHpeNQZZGomjyqCWcMhzMjs3mvAe+F5g5d9DamDmeF5dODN8v3Gp2ImdpPaOPac
UhhrYNv0CEuGEU3NCDcyEiOSXsg2D6oF5UfGYs4zNaA8q7ewWodq9l4fai5veCl8hF9iecLx
zOBNxexsH2/jsm2bnUNYUU4Pxwg2uzXQkzXbKBZzMy+qpY+LNps1lMXN4EIx7GZUxKrGRhiz
oYPMm+k928iRnqJesLVe8n9iMVOMLfDouCtjY2o9A7+6lRncFeMzcEkDZ0/pKzTyDBOsqnM1
9jLvqs5tZuAy8fFCKPMez+mnb7zsBv40MZW/GNiBgTLwDl0qjMVAwMAPYcdySxJFkuQAAAAA
SUVORK5CYII=</item>
    <item item-id="44">iVBORw0KGgoAAAANSUhEUgAAAL0AAAAVCAYAAAATmO+zAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="45">iVBORw0KGgoAAAANSUhEUgAAAOkAAAAVCAYAAACjZ8mBAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="46">iVBORw0KGgoAAAANSUhEUgAAAPEAAAAVCAYAAACXHgidAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="47">iVBORw0KGgoAAAANSUhEUgAAAOQAAAAVCAYAAABWmUIxAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="48">iVBORw0KGgoAAAANSUhEUgAAAL4AAAAVCAYAAAD4r1SwAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="49">iVBORw0KGgoAAAANSUhEUgAAAMIAAAAVCAYAAAAU2jGmAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="50" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0kBSQ
LuSBOhKI//8HqQYq9c9Jdc7JTM0rAethhOiAWAYmgXovnBd8sHCj1EMGNGAHdPW//5wMbEhi
jHDdEOcwQfn//oNshID/o2BIgb9A/A8Jj4KRBYIY8oGwhEGBwZUhD0gXMVSiFwV4gRgDKzzP
g8oD3VtOLdc51rouWfap+13WgyxktR+Ot75+MOkoIzOQfQAq5gy0HWRvKpgsJsluEBAClkLI
/iFWXyqUZmLwZ8gB8gKAPk8F2m8AhsQDCQYmRlAZSIr9oHASIcEOQoAc/8MArPwezfsjE7Ax
cDKUAhsQILwAmia4UFIHDLCgpZwP9oxQBf/hya7eGd18dF3YAAvUJpB6JlIT8CigHAAAAAD/
/wMAYqGWPeEKAAA=</item>
    <item item-id="51">iVBORw0KGgoAAAANSUhEUgAAAQIAAAEoCAYAAACzeP8AAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="52" content-encoding="gzip">H4sIAAAAAAAA/+JhYGBgBOJEIOYCs5mAJEtJUWqqBAMIOAAxR26yf1JWanIJWIQhAYhtGCFS
zGD1nM5hwa6FniWpuYxgFTxAzIYswAsmWcCKeYCKnfNzk/JB0hATBYCYHSiMEOEH2QF0kBVQ
fyEP1JFA/P8/SDVQqX9OqnNOZmpeCVgPI8QMiGVgEqj3wnnBBws3Sj1kQAN2QFf/+8/JwIYk
xgjXDXEOE5T/7z/IRgj4PwqGFPgLxP+Q8CgYWSCIIR8ISxgUGFwZ8oB0EUMlelGAF4gxsMLz
PKg80L3l1HKdY63rkmWfut9lPchCVvvheOvrB5OOMjID2QegYs5A20H2poLJYpLsBgEhYCmE
7B9i9aVCaSYGf4YcIC8A6PNUoP0GYEg8kGBgYgSVgaTYDwonERLsIATI8T8MwMrv0bw/MgEb
AydDqRQDGC+ApgkulNQBAyxoKeeDPSNUwX94sqt3RjcfXRc2wAK1CaSeidQEPAooBwAAAAD/
/wMAIOHqoOEKAAA=</item>
    <item item-id="53">iVBORw0KGgoAAAANSUhEUgAAAQIAAAEoCAYAAACzeP8AAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="54">iVBORw0KGgoAAAANSUhEUgAAASUAAAAVCAYAAAAAavhuAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="55">iVBORw0KGgoAAAANSUhEUgAAASYAAAAVCAYAAADrXUNtAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="56">iVBORw0KGgoAAAANSUhEUgAAAkQAAAAFCAMAAACTpQOIAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
    <item item-id="57">iVBORw0KGgoAAAANSUhEUgAAAkYAAAAHCAYAAADtRoKMAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AH9JREFUeF7t2MEJACAMBMHYuZ1rJCJagxOwgWEfh23khSNAgAABAgQIEIhYw8gRIECAAAEC
BAjkZxEEAgQIECBAgACBEjjDqOfnkcdAAxrQgAY0oIHfGrhHoR8jE5kAAQIECBAgsAUMIykQ
IECAAAECBAwjDRAgQIAAAQIEXoEJW0bEgZplSe8AAAAASUVORK5CYII=</item>
  </binaryContent>
</worksheet>