青岛大学学报（自然科学版）2012，Vol.25Issue(1)：57-62,67,7.DOI:10.3969/j.issn.1006-1037.2012.02.013
噪声图像分割的全局凸优化变分模型
A Global Variational Model of Image Segmentation for Images with Noises
摘要
Abstract
A general model of two phase segmentation of images with noises based on binary label function and convex relaxation method is proposed. Its region model is based on the general probability distribution functions including Gaussian, Rayleigh,Poisson and Gamma distribution, and so on. The length term of active contour model is approximated using the total variation of the binary function. In the alternate process of optimization the parameters are estimated. The global minimization is realized via convexifica-tion and thresholding techniques, and the Split Bregman algorithm is designed.关键词
图像分割/二值标记函数/全局凸优化/参数估计Key words
Image segmentation/Binary label function/Global minimization/Parameter estimation分类
信息技术与安全科学引用本文复制引用
陈杰,潘振宽,魏伟波..噪声图像分割的全局凸优化变分模型[J].青岛大学学报（自然科学版）,2012,25(1):57-62,67,7.基金项目
国家自然科学基金(61170106) （61170106）
