ADAPTIVE RANDOMIZED HOUGH TRANSFORM FOR CIRCLE DETECTION USING MOVING WINDOW
A novel adaptive randomized Hough transform using moving window for circle detection was proposed. In the method, circle detection is done by the standard randomized Hough transform, with a moving window to increase local signal-to-noise ratio for improving the detection rate.Parameters of the randomized Hough transform are set adaptively according to the currently windowed image part to reduce the detecting time while maintaining the user-preferred detection rate. Experimental results on an image database show that the proposed algorithm is effective and superior to other circle detection methods in applications where the range of radii of the circles to be detected is known a priori.
Hough transforms Randomized Hough transform Circle detection Image processing
SI-YU GUO XU-FANG ZHANG FAN ZHANG
College of Electrics and Information Engineering, Hunan University, Changsha, 410082, China Womens Hospital School of Medicine, Zhejiang University, Hangzhou, 310006, China Hangzhou Municipal Electric Power Bureau, Hangzhou, 310009, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3880-3885
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）