Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (22): 4109-4111.doi: 10.3969/j.issn.1673-8225.2012.22.028

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Medical image edge detection based on the improved SUSAN algorithm

Wang Min1, Gong Xiao-feng1, Zeng Jun2   

  1. 1Department of Automation, Electrical and Information Engineering of Sichuan University, Chengdu  610065, Sichuan Province, China; 2China North Industries Group 209 Research Institute, Chengdu  610041, Sichuan Province, China
  • Received:2011-10-05 Revised:2011-11-17 Online:2012-05-27 Published:2012-05-27
  • Contact: Gong Xiao-feng, Master’s supervisor, Professor, Department of Automation, Electrical and Information Engineering of Sichuan University, Chengdu 610065, Sichuan Province, China gongxiaofeng@cdhuari.com
  • About author:Wang Min, Studying for master’s degree, Department of Automation, Electrical and Information Engineering of Sichuan University, Chengdu 610065, Sichuan Province, China wangmin6727@126.com

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Abstract:

BACKGROUND: Medical image edge detection is an important technology of medical image process, which is also the foundation of the deeper medical image process.
OBJECTIVE: To use improved SUSAN algorithm to detect the medical image edge, so that richer medical image edge will be get and which is benefit for the deeper process of medical images.
METHODS: Sobel operator was used to improve the SUSAN algorithm and the C++ programming language was adopted. The improved algorithm was realized based on the VC++6.0 development platform.
RESULTS AND CONCLUSION: Experimental results showed that our algorithm could realize the threshold adaptive selection and had a better detection result in low contrast image edge of medical images.

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