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            <c val="#008080">VISION AND SEGMENTATION</c>
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              <c val="#800080">Machine Grading of Potatoes</c>
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Potatoes are graded for quality, in part, based on their size and color. The image-processing functions in this Extension Pack can be used to judge potato quality from a digital image. Using this information, a determination could be made as to whether the potato should be destined for french fries or the dinner table.</p>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">We thank Professor Yongmin Kim of the University of Washington for the image file used in this example. </p>
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Here is the potato we will analyze:</p>
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Our first task is to separate the potato from the background in the image. Since it is a color image, one way to separate the regions is to use region color. Region color is quite different, by design, for the potato and the background. One good measure of color is the hue of the HSV representation of the image (see the section on <b><u><link href="./Hlsv.xmcd" title="Links to section" popup="false">HSV color</link></u></b> for more information):</p>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">Now we can measure the size of the potato in pixels:</p>
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">The second task is to determine how green the potato is. To do this, we mask the hue image so that just the potato remains and threshold with a smaller value to pick out the green pixels. We can also visually compare to the original potato to verify the methodology.</p>
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">And finally, we can see what fraction of the area is green:</p>
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        <ml:eval>
          <ml:id xml:space="preserve">fraction_green_area</ml:id>
          <result xmlns="http://schemas.mathsoft.com/math20">
            <ml:real>0.28689935827203006</ml:real>
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    <region region-id="1718" left="6" top="1962.75" width="237.75" height="14.25" align-x="6" align-y="1974" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
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        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">This potato is about 29% green, by our measure.</p>
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    <region region-id="1723" left="6" top="1980.75" width="298.5" height="71.25" align-x="6" align-y="1992" 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" />
        <p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="0" text-align="inherit" list-style-type="none" tabs="inherit">For further reading, see Liyong Zhoi, Vikram Chalana, and Yongkim Kim, "PC-Based Machine Vision System for Real-Time Computer-Aided Potato Inspection," <f family="Times New Roman" charset="0"><i><inlineAttr underline="false" line-through="false">International Journal of Imaging System Technology</inlineAttr></i></f>, vol. 9, pp. 423-33, 1998. </p>
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