Abstract:

A novel algorithm to detect edges on gray images based on a statistic is proposed, which is referred to grey absolute correlation degree. First, eight-neighborhood of a pixel is divided along horizontal, vertical and two diagonal direction, respectively. Then the statistic value for each part of the pixels is computed. Finally edge point and edge direction are judged based on the comparison of the minimum statistic value with the threshold value. For grayscale variation acutely images, the experimental results show that the proposed algorithm not only is of advantages of simple, easy to be realized, certain anti-noise ability, but also can gain more precise edge pixel than several classical edge detection algorithms.