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    <p>% Firstly, Create the images</p> <pre><code>FirstImage = [ 108 113 121 129 128 124 117 101 114 76 60 110 98 74 121 109 114 62 52 105 85 59 121 116 110 59 54 104 0 0 0 115 104 55 54 104 0 0 0 113 96 48 51 105 0 0 0 113 94 60 69 115 0 0 0 110 99 108 122 130 135 0 0 109 ]; SecondImage = [ 0 0 0 0 0 0 138 137 137 137 0 0 138 127 129 135 138 0 132 97 99 133 135 0 134 108 110 137 137 0 141 140 140 140 139 0 138 138 138 140 0 0 0 0 0 0 0 0 ]; </code></pre> <p>% Make the image binary and invert it so that the zeros in the image are 1.<br /> % This is to make it compatible with <code>bwtraceboundary</code></p> <pre><code>im = FirstImage == 0 ; </code></pre> <p>% Find the object coordinates to match the requirements of <code>bwtraceboundary</code></p> <pre><code>objectCoord = find(im); [startRow,startCol] = ind2sub(size(im),objectCoord(1) ); </code></pre> <p>% The <code>find()</code> function scans the matrix column-by-column <br /> % so we know that it will start in the top left corner and work <br /> % itself down, column-by-column. Therefore, some part of the boundary must <br /> % lie east of the first coordinate found. This is one way of finding <br /> % the starting coordinates <br /></p> <pre><code>contour = bwtraceboundary(im,[startRow startCol],'E' ); </code></pre> <p>% Mark the contour</p> <pre><code>contourimage = zeros(size(im)); contourind = sub2ind(size(contourimage),contour(:,1),contour(:,2)) contourimage(contourind) = 1; contourimage = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 1 0 </code></pre> <p><br /> % Now, this will only detect the boundary of the object itself. <br /> % We are looking for the nearest non-zero values to the boundary.<br /> % To get the nearest non-zero values,<br /> % <b>apply dilution</b> to the countour image and <br /> % then multiply it element-wise with the original image.<br /> % Calculate the mean of the non-zero values<br /></p> <p><br /> % Perform dilution<br /><br /></p> <pre><code>mask = bwmorph(contourimage,'dilate') mask = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 </code></pre> <p><br /><br /> % Multiply the <code>mask</code> with the original image, element-wise.<br /> % The object itself will then be zeroed out and the non-zero boundary will remain. <br /><br /></p> <pre><code>A=mask.*FirstImage A = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 105 85 59 121 116 0 0 0 104 0 0 0 115 0 0 0 104 0 0 0 113 0 0 0 105 0 0 0 113 0 0 0 115 0 0 0 110 0 0 0 130 135 0 0 109 </code></pre> <p><br /><br /> % Then calculate the average<br /></p> <pre><code>mean(A(A&gt;0)) ans = 108.6875 </code></pre>
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    1. POCalculate the neighbourhood inside or outside of a region
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    1. COyep, that's about it... I've made you're code a bit more concise, you got my +1
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    2. COHi I tried to run this but I am getting an error in bwtraceboundary coommand. It says "Error using bwtraceboundary Expected input number 2, P, to be a vector.". I rechecked the code, it appears to be correct. Can anybody tell me why that error is being shown ?
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    3. COIt worked for me when I ran it though. Check that startRow and startCol are vectors of the same size. I haven't got Matlab here at the moment so I can't check it.
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