A medical image segmentation method includes: step 1, initialize of the number of clusters and determine the initial values of the cluster centroids； step 2, calculate a Hausdorff distance between each cluster centroid and each pixel in the image； step 3, calculate a membership function of each pixel based on the Hausdorff distance and a Euclid distance between the cluster centroids and each pixel； step 4, calculate an objective function, cluster the pixels of the image based on the updated membership function, and update the centroid value； and repeating step 2-4, until a difference between two objective function values is less than a threshold value. Then the membership function from the last iteration is a final segmentation.
