计算机工程与应用Issue(15)：140-144,5.DOI:10.3778/j.issn.1002-8331.1208-0442
融合形状先验的向量CV模型图像分割算法
Algorithm for image segmentation based on vector CV model com-bining shape prior
摘要
Abstract
Chan et al proposes the vector CV model to solve the problem that the traditional CV model cannot segment the vector images, but it has a bad effect on the complex images that have noise or occlusions, so this paper proposes the vector CV model combining shape prior. Its energy function is mainly composed of shape prior information term and image area information term and distance regularization term. When the evolved active contour and shape prior have similar posi-tions, the contour stops evolution. According to the affine transformation of shape, using a gradient descent algorithm for template to match makes the algorithm more flexible. The model has good segmentation result for the noise and clutter image.关键词
水平集/向量CV模型/图像分割/形状先验Key words
level set/vector CV model/image segmentation/shape prior分类
信息技术与安全科学引用本文复制引用
王万玉,杨建功,汪西莉..融合形状先验的向量CV模型图像分割算法[J].计算机工程与应用,2014,(15):140-144,5.基金项目
国家自然科学基金（No.40671133，No.41171338）。 （）
