Hybrid Comer Detection Algorithm for Brain Magnetic Resonance Image Registration
Corner detection algorithm is key to the image registration algorithm based on corner feature point. According to the brain magnetic resonance (MR) image registration, this paper proposed a hybrid corner detection algorithm by combining the Harris and Susan operators and applied it into brain MR image registration. Firstly, this method extracts the Harris and Susan corner feature points by using Harris and Susan operators. Secondly, this method merges the points and conducts weight computation based on two weight coefficients ω1 andω2 · After that, the feature points can be chosen further. Through normalization relevance method and voting mechanism, the final feature points are chosen further and are matched between reference image and image needing registration. Finally, the Powell algorithm is used and the final transform coefficients are obtained. The experimental results show that this algorithm can be used for brain MR image registration and can obtain higher registration precision and.
Brain MR image registration Harris operator Susan operator Hybrid Hybrid corner detection
Di Zhou Yiwen Gao Liuyi Lu Honghui Wang Yongming Li Pin Wang
College of Communication Engineering of Chongqing University Chongqing China Sichuan University of A College of Communication Engineering of Chongqing University Chongqing China Sichuan University of Arts and Science, Dazhou, Sichun, 635000, China
国际会议
上海
英文
308-313
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）