A multiphase texture segmentation method based on local intensity distribution and Potts model  

作　　者：王靖 郑永果 潘振宽 张维忠 王国栋 

机构地区：[1]College of Information Science and Engineering,Shandong University of Science and Technology [2]College of Information Engineering,Qingdao University

出　　处：《Optoelectronics Letters》2015年第4期307-312,共6页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61170106)

摘　　要：Because texture images cannot be directly processed by the gray level information of individual pixel,we propose a new texture descriptor which reflects the intensity distribution of the patch centered at each pixel.Then the general multiphase image segmentation model of Potts model is extended for texture segmentation by adding the region information of the texture descriptor.A fast numerical scheme based on the split Bregman method is designed to speed up the computational process.The algorithm is efficient,and both the texture descriptor and the characteristic functions can be implemented easily.Experiments using synthetic texture images,real natural scene images and synthetic aperture radar images are presented to give qualitative comparisons between our method and other state-of-the-art techniques.The results show that our method can accurately segment object regions and is competitive compared with other methods especially in segmenting natural images.

关 键 词：texture segmentation multiphase descriptor pixel patch processed scene neighborhood minimization 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O414.2[自动化与计算机技术—计算机科学与技术]