Heuristic search with a new operator based Krisch combination of Image edge detection

This paper designed a new edge detection[1,3] operator based on Krisch edge detector and direction encoding and combining the local average, while proposed heuristic search algorithm in the noise image based on segmentation edge of the self-enhanced. First, use small-scale Gaussian filtering in the noise image, and then use this edge detector for edge detection, and trajectory of each sub-search self-reinforcing, and finally according to the degree of self-reinforcing accumulation of noise to obtain the image edge. The results show that: This algorithm can effectively extract the real object from the noise, and to maximize the retention of details. And the performance better than Krisch and has some speed advantage