An improved Canny edge detection algorithm for color image
The traditional Canny edge detection method is widely used in gray image processing. However, this traditional algorithm is unable to deal with color images and the parameters in the algorithm are difficult to be determined adaptively. In this paper, an improved Canny algorithm is proposed to detect edges in color image. The proposed algorithm is composed of the following steps: quaternion weighted average filter, vector Sobel gradient computation, non-maxima suppression based on interpolation, edge detection and connection. Experimental results show that the proposed algorithm outperforms other color image edge detection methods and can be widely used in color image processing.
edge detection color image vector Sobel operator non-maxima suppression Canny algorithm
Geng Xin Chen Ke Hu Xiaoguang
School of Automation Science and Electrical EngineeringBeihang UniversityBeijing, 100191, China School of Automation Science and Electrical Engineering Beihang University Beijing, 100191, China
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
113-117
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）