广东工业大学学报Issue(2)：104-108,5.DOI:10.3969/j.issn.1007-7162.2015.02.019
一种改进的 C-V 水平集图像分割方法
An Improved Image Segmentation of C-V Level Set
陈志惠 1汪仁煌 1汪志敏1
作者信息
- 1. 广东工业大学自动化学院，广东广州510006
- 折叠
摘要
Abstract
A level set image segmentation model presented by Chan-Vese does not rely on the image edge information and it has good segmentation effect on weak edge and the images containing internal outline . However , for the gray scale of background image contains two or more hierarchies , image segmentation can not get accurate results .This paper puts forward a new improved algorithm based on C-V model .The algorithm introduces an improved fast C-V method into the global gradient information and the prior knowledge of the target .The experimental results show that the method can identify the complex grayscale background image with target area profile of multiple hierarchies , which proves to have favorable perform-ance and adaptability .关键词
图像分割/C-V水平集/快速/先验信息/背景灰度多级分层Key words
image segmentation/C-V level set/fast/prior knowledge/background gray multi-level hier-archy分类
信息技术与安全科学引用本文复制引用
陈志惠,汪仁煌,汪志敏..一种改进的 C-V 水平集图像分割方法[J].广东工业大学学报,2015,(2):104-108,5.
