Improved HT Object Detection Algorithm Based on Canny Edge Operator

According to the problem of low positioning accuracy of the existing line detection algorithm and multiple response problem of the single edge detection, this paper presents an improved Hough transform based on Canny operator object detection algorithm which uses the characters of the line segment object from the commonly used edge detection operator to find the best comprehensive properties of the operator. The algorithm can effectively remove the interference of noise, solved the calculation accuracy and computation speed between the optimal matching problems, and effectively solve the problem of multiple peak detection and false peak problem, improve the line segment detection robustness. Experimental results show the algorithm robustness to image noise has been improved, can get the better results.