文档介绍:中国组织工程研究第 16 卷第 22 期 2012–05–27 出版
Chinese Journal of Tissue Engineering Research May 27, 2012 ,
基于改进SUSAN算法的医学图像边缘检测★
1 1 2
王敏,龚晓峰,曾军
Medical image edge detection based on the improved SUSAN algorithm
1 1 2
Wang Min , Gong Xiao-feng , Zeng Jun
Abstract
1
BACKGROUND: Medical image edge detection is an important technology of medical image process, which is also the Department of
foundation of the deeper medical image process. Automation, Electrical
OBJECTIVE: and Information
To use improved SUSAN algorithm to detect the medical image edge, so that richer medical image edge will be get Engineering of
and which is benefit for the deeper process of medical images. Sichuan University,
METHODS: Sobel operator was used to improve the SUSAN algorithm and the C++ programming language was adopted. The Chengdu 610065,
Sichuan Province,
improved algorithm was realized based on the VC++ development platform. 2
RESULTS AND CONCLUSION: China; China North
Experimental results showed that our algorithm could realize the threshold adaptive selection Industries Group 209
and had a better detection result in low contrast image edge of medical images. Research Institute,
Chengdu 610041,
Wang M, Gong XF, Zeng J. Medical image edge detection based on the improved SUSAN Zuzhi Gongcheng Sichuan Province,
China
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