The MDR Algorithm for Edge Detection on Change-Point Theory

Statistical method is one of the important methods on edge detection of computer vision. But the preview algorithms, which based on probability theory, are not practical. So the development of this research direction has been slow. In this paper, we provide a MDR (multi-directions-relation) algorithm for edge detection. Many methods reduce the noise before further detection. It might lose some useful information. We consider the method to detect the edge and reduce the noise synchronously, in order to keep more information in the image for detection. Afterwards, we discuss on the setting of the parameters carefully. One of the parameters impils the number of the edge points in one line. If you have some information about the edges beforehand, it will improve the accuracy through fixing it, otherwise, the algorithm adjust the value automatically. The experiments show that the algorithm is faithful to the source and is good at dealing the detail of images.