Marr Hildreth edge detector
no vote
In computer vision, mar Hildreth algorithm is a kind of digital image of edge detection, that is, continuous curve method has strong image brightness and fast change. The edge detection method of Mar Hildreth is simple and convenient. The convolution and Laplacian Gauss function can be used as the fast approximation of Gauss difference image. Then, zero cross detection filters the results to get the edge. Gaussian Laplacian image operator is sometimes called Mexican Hat wavelet due to its visual shape when turned on up down. David Marr and Alan C. Hildreth are two inventors. However, there are two main limitations. It generates a response in which the mismatched edges, the so-called & quot; pseudo edges & quot;, and the positioning errors may be severely curved edges. Today, there are many better edge detection methods, such as the canny edge detector based on local orientation maximum gradient amplitude, or the differential method based on zero cross correspondence For more details, see the article on edge detection.