Canny edge detection is an image processing technique used to identify and locate sharp changes in intensity in an image, which typically correspond to object boundaries. It involves several steps: noise reduction using a Gaussian filter, gradient calculation to identify edges, non-maximum suppression to thin the edges, and hysteresis thresholding to finalize the detection of strong and weak edges. This method is crucial for segmenting images into meaningful regions and describing important features within those regions.
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