An Image Segmentation Method by Combining Fuzzy C-Means Clustering with Graph Cuts Optimization for Multiphase Level Set Algorithms
Multiphase level set model is sensitive to initial contour curve and has huge computation in the process of the multiple objects' segmentation.A novel Image segmentation method is presented for multiphase scenario,which initializes the multiphase level set function by coarse image segmentation using fuzzy C-means clustering algorithm and applies graph cuts algorithm to acquire multiphase output image.The method can effectively reduce the sensitivity of the multiphase level set algorithm to initial contour and is easier to gain the multiphase output image by graph cuts algorithm.At the same time,the multiphase level set function quickly converge to the minimum energy value with small amount of calculation and high computational efficiency using the graph cuts algorithm.The experiments show that this method has better segmentation effect and higher efficiency of image segmentation.
fuzzy C-means clusteringimage segmentationgraph cutsmultiphase level set
NETL
NSTL
万方数据
维普
