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This paper presents an image segmentation method based on fuzzy clustering and level set methods. The MRI image is firstly segmented with the fuzzy clustering method, and then the resulting fuzzy memberships are used to generate a new constraint function which guides the level-set curves evolution. Thanks to the new constraint term, the presented method is able to adaptively determine the directions...
In this paper, we propose a new segmentation approach based on level set techniques to segment the brain MR images. We adopt a new binary regional term based on the fuzzy information of the image in the new algorithm, which can inflate or contract the evolving curves automatically without predefined the evolving directions during the initialization phase. The algorithm can segment brain tissues from...
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