哈尔滨工程大学学报Issue(12)：1632-1637,6.DOI:10.11990/jheu.201501044
基于 C-V 模型无关曲率方向的快速分割算法
A fast segmentation algorithm with curvature-independent direction based on the Chan-Vese model
摘要
Abstract
To improve image segmentation accuracy with better edge details, a new fast method is proposed based on the Chan-Vese( C-V) model.It combines an edge function and a signed distance function.The edge function is di-rectionally curvature-independent, and the energy function evolves without re-initializing the signed distance func-tion.The improved method extends the C-V model, so as to properly extract contours from given images in homoge-neous areas.It does not use the local gradient information of level sets while evolving contours, instead it adds a curvature-independent directional edge function and uses mean curvature motion to minimize length energy.The in-ternal energy function term of the energy function is increased to simplify and speed up the model when it needs to re-initialize the signed distance function.Experiments show that the new algorithm nicely evolves wanted target edge contours for accurate image segmentation, and also reduces time significantly, approximately 1.2 times faster than the geometric active contour C-V model.关键词
图像分割/Chan-Vese模型/水平集方法/边缘函数/能量泛函/几何活动轮廓模型Key words
image segmentation/Chan-Vese model/level set method/edge function/energy function/geometric active contour model分类
信息技术与安全科学引用本文复制引用
吴鹏,李雯霖,宋文龙..基于 C-V 模型无关曲率方向的快速分割算法[J].哈尔滨工程大学学报,2015,(12):1632-1637,6.基金项目
黑龙江省自然科学基金面上资助项目（ C201337）；哈尔滨市科技创新人才研究专项资金资助项目（2014RFQXJ127）；黑龙江省博士后科研启动金资助项目（ LBH－Q14006）；国家自然科学基金资助项目（31470714）；中央高校基本科研业务费专项资金资助项目（2572014CB14）． （）
