Medical Image Segmentation Based on KFCM Fuzzy Clustering Algorithm

Medical Image Segmentation Based on KFCM Fuzzy Clustering Algorithm

Medical image segmentation refers to the separation and identification of different biological tissues and disease regions in medical images. For this problem, we can use the medical image segmentation method based on fuzzy kernel clustering algorithm KFCM. This method can complete medical image segmentation more accurately than traditional methods such as threshold segmentation and region growing.

We can implement this algorithm using Matlab. Here is the corresponding source code:

function [seg,center] = kfcm_gray_image(I,c)
%I为待分割的灰度图像,c为类数
%seg为分割结果,center为聚类中心
%例: [seg,center] = kfcm_image(imread('test.jpg'),3);
[m,n] =