Fuzzy C-means clustering with weighted energy function in MRF for image segmentation

In this paper, we present a new Markov Random Field based FCM image segmentation algorithm. A new energy function is proposed to utilize the spatial and contextual information simultaneously. In the proposed energy function, we use a weighted distance to reflect the different effects of neighborhood pixels. By using the new energy function, the new algorithm has a better performance in noise-corrupted images. Experimental results on real and synthetic images show our method is effective.