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              <c val="#800080">Row and Column Gradients</c>
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        <phrase>rowgrad function</phrase>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">These functions find the row and column gradients of an image, <f family="Times New Roman" charset="0"><inlineAttr font-weight="normal" line-through="false">M</inlineAttr></f>, resulting in a horizontally or vertically selective edge detection. Edge detection is used to enhance image readability for certain types of features that depend on boundaries. Gradients also result in a visual embossing effect.</p>
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            <c val="#800000">Arguments</c>
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      <text use-page-width="false" push-down="false" lock-width="true">
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              <inlineAttr line-through="false">M</inlineAttr>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">The functions return a matrix containing the row or column differences. The first row/column is set to zero.</p>
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            <c val="#800000">Function Details</c>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">These two functions create row and column differences in an image,<b><sp /></b><f family="Times New Roman" charset="0"><inlineAttr font-weight="normal" line-through="false">M, b</inlineAttr></f>y subtracting successive rows (or columns) from each other.</p>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">In each case the resulting matrix has one undefined row or column. This is set equal to zero.</p>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">This function subtracts adjacent rows in an image matrix to form the output matrix. The first row is zero.</p>
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              <c val="#800000">colgrad(M)</c>
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        <phrase>colgrad function</phrase>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">This function subtracts adjacent columns in an image matrix to form the output matrix. The first column is zero.</p>
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        <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="left" list-style-type="none" tabs="inherit">Notice the edge-detection effects for each of these functions. They very sharply find the horizontal (in the case of <b>rowgrad</b>) or vertical (in the case of <b>colgrad</b>) edges in the image.</p>
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