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    <p>It seems to me you aren't counting different pixels, not even pixels at all.<br> You are counting how often a color channel of one pixel in the first image matches the channel of the corresponding pixel in the other image.</p> <p>You probably meant to do something along the lines of:</p> <pre><code>... //in the inner for loop if(row[x] != row2[x] || row[x+1] != row2[x+1] || row[x+2] != row2[x+2]) count++; ... </code></pre> <p>This will however not account for the alpha channel (if present) and will fail on grayscale images as you might read out of bounds of the data array.</p> <p><strong>EDIT:</strong> As long as you don't release the old image it should be fine. However, it might be better to do something like:</p> <pre><code>//make sure size and channels are correct. //If unsure, load the image first and then create with the parameters taken from the loaded image. cvCreateImage(cvSize(640, 480), 8, 3); //use cvCopy to copy the contents and proceed as normal cvCopy(fIplImageHeader , lastFIplImageHeader); </code></pre> <p>Alternatively, instead of copying, you could just hold a pointer to the old image and use that, as long as you don't release it.</p> <pre><code>lastFIplImageHeader = fIplImageHeader; fIplImageHeader = cvLoadImage( filePath.c_str() ); </code></pre> <p><strong>EDIT2:</strong> If the difference is all you want, you could have a look at <a href="http://opencv.willowgarage.com/documentation/operations_on_arrays.html#cvSub" rel="nofollow">cvSub</a> (with both images loaded as grayscale), followed by <a href="http://opencv.willowgarage.com/documentation/operations_on_arrays.html#cvCountNonZero" rel="nofollow">cvCountNonZero</a></p>
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    1. COYou are probably right. But still I get the same number all the time: 3626. I think there is some problem with how I store the previous image in lastFIplImageHeader.
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    2. COI edited my answer.
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    3. COI will try in the evening and let you know how it went. I don't have much time right now (I'm in work).
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