canny edge map

A canny edge map is a type of image processing technique that detects edges in an image. It was developed by John F. Canny in 1986 and is widely used in various computer vision applications. The canny edge detection algorithm involves several stages, including smoothing the image with a Gaussian filter, finding the gradient and magnitude of the image, applying non-maximum suppression to thin out the edges, and finally, applying hysteresis thresholding to determine which edges are real and which are not. The output of the canny edge detection algorithm is a binary image where the edges are represented by white pixels and the non-edges are represented by black pixels. The canny edge map is useful for feature extraction, object recognition, and image segmentation.