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http://dx.doi.org/10.6109/jkiice.2012.16.3.585

Edge Extraction using Fuzzy Techniques in Coronary Artery Image  

Kim, Seong-Hu (경상대학교병원 영상의학과)
Lee, Ju-Won (안동과학대학 의료공학과)
Kim, Joo-Ho (경상대학교병원 영상의학과)
Lee, Han-Wook (경상대학교 전자공학과)
Jung, Won-Geun (한국국제대학교 전기에너지공학과)
Lee, Gun-Ki (경상대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.3, 2012 , pp. 585-590 More about this Journal
Abstract
Coronary Intervention treatment has become the core that is the test of cardiac catheterization to conduct treatment with Coronary Arteriography. Operators must be careful in Coronary Intervention treatment because the stent is inserted into the point of narrowing of blood vessel. So, the operator must correctly recognize the path of blood vessel to deal with the problems which are damages and ruptures of blood vessel, and there would be some errors of finding the path of blood vessel by bad qualify of the image. Therefore in this paper, median filtering is conducted by preprocessing to evaluate the performance of the effect of noise of the image that affects quality of the image and Fuzzy Edge Extraction Techniques is tested by using Soble Edge Extraction Techniques to compare the performance with The Fuzzy Edge Extraction Techniques. In result, the performance, removing the noise and extracting the signal of Fuzzy Edge Extraction Techniques using median filtering, demonstrates the superiority.
Keywords
fuzzy edge; percutaneous coronary intervention; median filtering; sobel edge;
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