会议专题

Study of Image Edge Detection Techniques

Edges characterize boundaries.Edge detection is a problem of fundamental importance in image processing.The key of edge detection for image is to detect more edge details,reduce the noise impact to the largest degree.In this paper the comparative analysis of various image edge detection techniques is presented.In order to evaluate these techniques,they are used to detect the edge of chromosome image.Firstly,the iterative thresholding algorithm and morphologic erode algorithm together are applied to enhance both the edges of the chromosomes and the contrast of the image.Then,Sobel operator technique,Roberts technique,Prewitt technique and Canny technique are used respectively to detect the edges of the chromosomes in the image.

edge detection operator chromosome

Yan Wenzhong Deng Dazhi

Department of Computer North China Institute of Science and Technology Beijing,China Department of Computer Science & Engineering Henan Institute of Engineering Zhengzhou,China

国际会议

2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

太原

英文

379-381

2011-02-26(万方平台首次上网日期,不代表论文的发表时间)