Abstract: Normalized cross-correlation is a standard way of looking for examples of a target in an image. A way to avoid scanning the entire image is explored. It exploits the observation that in the locality of a target object, the watershed of a smoothed image is similar to the watershed of a smoothed image of the target. Therefore, it is only necessary to align the target watershed with the image watershed and track the one along the other. This can be faster than scanning the entire image. !13
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