New Kernel Fuzzy C-Means Clustering Image Segmentation Algorithm with Local Entropy Information

This paper presents a new kernel fuzzy c-means clustering image segmentation algorithm withlocal entroy information (EKWFLICM)by introducing the pixel difference between neighborhood points and the middle point and kernel distance. The experimental results show that the proposed algorithm has betterr obustness than the WFLICM algorithm and retains the original image details well. So it has practical application value.