Accelerated Local Binary Fitting Scheme for Medical Images Segmentation
عنوان مقاله: Accelerated Local Binary Fitting Scheme for Medical Images Segmentation
شناسه ملی مقاله: JR_JESS-2-1_001
منتشر شده در شماره ۱ دوره ۲ فصل در سال 1393
شناسه ملی مقاله: JR_JESS-2-1_001
منتشر شده در شماره ۱ دوره ۲ فصل در سال 1393
مشخصات نویسندگان مقاله:
Mohammad Bagher Khamechian - Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran.
Mahdi Saadatmand-Tarzjan - Department of Electrical Engineering, Ferdowsi University of Mashhad
خلاصه مقاله:
Mohammad Bagher Khamechian - Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran.
Mahdi Saadatmand-Tarzjan - Department of Electrical Engineering, Ferdowsi University of Mashhad
Geometric and geodesic active contours are typical approaches for medical image segmentation. Specially, local binary fitting (LBF) effectively takes advantage of the local intensity average in the energy functional to overcome segmentation difficulties caused by intensity inhomogeneity and ruptured edges. Despite promising results, the convergence rate of LBF is too slow. In this paper, we proposed a new efficient implementation for LBF based on the additive operator splitting scheme. In more detail, the multi-dimensional deformation equation of LBF is decomposed into some one-dimensional equations which can be efficiently solved by Tomas algorithm. Experimental results demonstrated that the proposed algorithm performs better than LBF in terms of both CPU time and solution quality.
کلمات کلیدی: Geometric active contours, level set, local binary fitting, additive operator splitting, image segmentation
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/644191/