Image segmentation based on modified and piecewise fuzzy Gibbs random fields
基于修正的分段模糊吉伯斯随机场模型的图像分割

A simple,easy but efficient approach,based on modified and piecewise fuzzy Gibbs random fields was introduced.A fine initial classification was got by modified FCM(Fuzzy C-Means),then combined with the two classes fuzzy method,a complex segmentation was got efficiently and precisely.Experiments show that our approach is more reliable and effective than classical methods in multi-class image segmentation.