基于水平集及主动轮廓线模型的图像分割研究  

作　　者：董凯宁[1] 胡蓉[2] 

机构地区：[1]四川大学电子信息学院 [2]成都电子机械高等专科学校通信工程系

出　　处：《成都电子机械高等专科学校学报》2008年第1期4-9,共6页Journal of Chengdu Electromechanical College

摘　　要：传统的图像分割方法难以满足图像复杂分割的要求,基于主动轮廓线模型的图像分割方法正是这种需求下出现的。几何主动轮廓线模型对拓扑结构的变化处理非常自然,解决了参数主动轮廓线模型难以解决的问题,而水平集方法的出现,极大地推动了几何主动轮廓线模型的发展。本文主要研究基于水平集方法的图像分割,介绍了主动轮廓线模型、曲线演化和水平集方法的相关理论和经典的C-V算法模型。Classical image segmentation techniques cannot satisfy the requirements ot complex image segmentation. Under the circumstances, model -driven image segmentation techniques come into being. Geometric Active Contour Model is capable of handling changes in the topology of the evolving contour, it is the difficult problem to Parameter Active Contour Mode. And the emergence of the level set method, which has greatly promoted the development of the geometric active contour models. This paper mainly based on the level set method for image segmentation. Based on the research, theory of Active Contour Models, curve evolution and level set method and C -V method are presented.

关 键 词：图像分割 曲线演化 水平集方法 C—V模型 

分 类 号：TN911.73[电子电信—通信与信息系统]