Hybrid Medical Image Segmentation based on Fuzzy Global Minimization by Active Contour Model
نویسندگان
چکیده
منابع مشابه
Hybrid Medical Image Segmentation based on Fuzzy Global Minimization by Active Contour Model
This paper provides new hybrid medical image segmentation based on Global Minimization by Active Contour (GMAC) method and Spatial Fuzzy C Means Clustering method (SFCM) tailored to CT imaging applications. GMAC is the unification of image segmentation and image denoising, which is a combination of snake, Rudin-Osher denoising and the Mumford Shah model. Here globalization of contour is applied...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/4877-7309