A Convex Approach for Local Statistics Based Region Segmentation  

作　　者：MA Liyan YU Jian 

机构地区：[1]School of Computer and Information Technology,Beijing giaotong University,Beijing 100044,China

出　　处：《Chinese Journal of Electronics》2012年第4期623-626,共4页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60905028, No.61033013） and Beijing Natural Science Foundation （No.4112046）.

摘　　要：A convex active contour model based on local image statistics is proposed in this paper. By assuming that the intensity distribution of the image pixels in a window is described by a Gaussian distribution, our model is able to segment images with intensity inhomogeneity. Due to the convexity of the proposed model, we introduce a dual formulation to solve the minimization problem and obtain a much efficient method. Experiments show that the segmentation results of the proposed method are similar to that of the non-convex method based on local statistics, but our method is much more efficient.

关 键 词：Image segmentation Active contour In- tensity inhomogeneity Level set method Local statistics. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] S54[自动化与计算机技术—计算机科学与技术]