An algorithm for improving the precision of detecting round object by Hough Transform
Shuguang Dai · Microcomputer Information · 2009
Hough transform has the advantage of detecting discrete edges. But the advantage sometimes leads to wrong recognition. A lot of practice indicates that when detecting round objects by Hough transform, the dots detected always focus on some segment of continuous arc. If the dots detected are dispersed on the circle, it would be a wrong recognition caused by noise. Based on this point, this paper raises an algorithm to solve it. That is to get the standard variance of the angles of dots detected, and comparing the standard deviation with the number of edge dots detected to judge whether the recognition is right or not. In this paper, the algorithm is put into use of detecting persons' heads, and get good effect.