Mumford-Shah模型及其应用  

Theories and applications of Mumford-Shah models

作　　者：唐孝艳[1] 蔡念[1] 陈世文[1] 

机构地区：[1]广东工业大学信息工程学院,广东广州510006

出　　处：《计算机工程与设计》2010年第12期2830-2834,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(30600121);广东省自然科学基金项目(07301038)

摘　　要：介绍了Mumford-Shah模型的基本理论,将众多的Mumford-Shah模型改进算法归纳为内嵌改进型和顺接改进型两种,并指出内嵌改进型主要改进了Mumford-Shah模型的计算方式,顺接改进型是以串行的方式融合了Mumford-Shah模型和其它方法。最后指出Mumford-Shah模型仍需要改进,以解决复杂或多目标图像的分割问题。Mumford-Shah models are the popular research in the fields of image processing and computer vision.Firstly the theories are presented.Then all the improving algorithms are divided into two categories,i.e.embedded models and sequent ones.Embedded models mainly improve the inner processing of Mumford-Shah models and sequent ones integrate Mumford-Shah models with other al-gorithms in the serial mode.Finally,their applications are mentioned.More amelioration for Mumford-Shah models to resolve the problems on complex image and multi-object image.

关 键 词：MUMFORD-SHAH模型 水平集 梯度 直方图 模糊聚类 

分 类 号：TN911.73[电子电信—通信与信息系统]