计算机工程Issue(4)：236-240,5.DOI:10.3969/j.issn.1000-3428.2015.04.045
基于改进活动轮廓模型的图像分割
Image Segmentation Based on Improved Active Contour Model
摘要
Abstract
In order to overcome the problem of weak boundary and intensity inhomogeneity, a region-based active contour model for image segmentation is proposed in this paper. Using the global and local image information as the energy term driving evolution of active contour to the objective boundaries can effectively segment images with intensity inhomogeneity. In order to segment the image fast and accurately,the length term and penalty are incorporated into the energy equation. By adopting gradient descent method, the minimization of the energy equation can be given. Segmentation tests demonstrate that the proposed method can segment images with intensity inhomogeneity, needs less iteration and few iteration times,and is less sensitive to the location and size of the initial contour when is compared with the Local Binary Fitting( LBF) model and the Local Image Fitting( LIF) model.关键词
图像分割/活动轮廓/水平集/C-V模型/局部二值拟合模型/局部图像拟合模型Key words
image segmentation/active contour/level set/C-V model/Local Binary Fitting( LBF) model/Local Image Fitting( LIF) model分类
信息技术与安全科学引用本文复制引用
江晓亮,李柏林,刘甲甲,王强..基于改进活动轮廓模型的图像分割[J].计算机工程,2015,(4):236-240,5.基金项目
国家自然科学基金资助项目(51305368) （51305368）
四川省科技支撑计划基金资助项目(2012GZ0102) （2012GZ0102）
四川省科技创新苗子工程基金资助项目(2012ZZ056,2012ZZ057)。 （2012ZZ056,2012ZZ057）
