Robust level set image segmentation based on modified fuzzy clustering

Image segmentation by level set method greatly depends on appropriate initialization and optimal configuration of the contour controlling parameters. Here in this paper a novel, robust image segmentation based on fuzzy level set is been presented. Spatial fuzzy clustering is used for the initial segmentation and for considering controlling parameters of level set evolution. Level set algorithm is regularized with fuzzy clustering which facilitate in manipulations, leading to more robust image segmentation. The above process of segmentation showed a considerable improvement in the evolution of the level set function.