Multi-Scale Edge Detection Algorithm for Magnetic Resonance Images
Ling Tao · Nanjing Hangkong Hangtian Daxue xuebao · 2005
Because of the weak edge characteristic of symptom informations on medical images, the traditional methods for edge detection are not ideal. An improved multi-scale edge detection algorithm is presented based on Mallat wavelet model maximum edge detection algorithm. Membership functions are designed with a fuzzy algorithm to detect weak edge information and model maximum values are picked out. Finally, a multi-scale edge amalgamation algorithm is used to compose all images of different scales. Experiments indicate that the method can detect the weak edge and inhibit the noise at certain extent. The edge position is accurately located, and the effect of the edge detection is obvious. The calculation can make a compromise on edge location, noise inhibition and weak edge detection. The algorithm can resolve the inconsistency between high precision localization and high de-noise ability existed in traditional edge detection algorithm.