Improvement and Parallel Implementation of Canny Edge Detection Algorithm Based on GPU
Being an effective edge detector with single-pixel response, Canny operator has been widely used in accurately abstracting the edge information in image processing. However, taking its 4-step process into account, its real-time implementation based on CPU has become a significant problem, especially for the part of the edge tracing, which consumes a large amount of computing time. To solve the problem, GPU will be used in this paper for sake of its powerful ability of parallel processing while a new Canny operator is proposed with the introduction of parallel breakpoints detection and edge tracing without recursive operations. Experimental results show that, the improved Canny operator has obtained a high real-time performance of edge detection in image processing.
Shengxiao Niu Jingjing Yang Sheng Wang Gengsheng Chen
ASIC and System State Key Lab, Shanghai 201203, China
国际会议
2011 IEEE 9th International Conference on ASIC(2011年第九届IEEE国际专用集成电路大会)
厦门
英文
698-701
2011-10-25（万方平台首次上网日期，不代表论文的发表时间）