Fast algorithm of subpixel edge detection based on Zernike moments
基于Zernike矩亚像素边缘检测的快速算法

The traditional Zernike orthogonal moment operators can detect the edge with subpixel-level, but the algorithm still requires manual tuning on selecting threshold, not only inefficient, but also leads to the wrong detection of the edge. In order to overcome this weakness, this article combined original algorithm with Otsu adaptive threshold algorithm and proposed a new fast algorithm for edge detection. Firstly,it calculated the step grayscale matrix of the image by the traditional Zernike method, then treated the matrix as a calculate object, directly obtained the optimal step gray threshold by Otsu method and determined the edge. This algorithm also calculated the error caused by edge model.The detection time is significantly shortened while ensuring the detection accuracy. Experimental results show that the improved algorithm can detect the image edge more effectively and the subpixel-level location is more accurate after compensating.