Image segmentation approach of combining fuzzy clustering and graph cuts

This paper proposed an image segmentation method combining fuzzy C-means clustering and graph cuts.Based on graph cuts,considering the pixel space,establish a global energy function concerning labels,and make the FCM clustering center as terminal to found a multi-terminal network,get the global minimum of the energy function or the approximate minimum of the label function by the α expansion moving algorithm.Re-demarcate all pixels between all classes and get the right targets.Experimental results show that the method has great improvement in accuracy,performance and noise immunity.