重庆大学学报Issue(8)：105-110,6.DOI:10.11835/ji.ssn1.000-582X2.0140.80.15
结合阈值算法的Chan-Vese模型图像分割方法
An image segmentation method based on Chan-Vese model combined with threshold algorithm
摘要
Abstract
Threshold segmentation is a basic grey-scale converting technology of image processing .We combine threshold segmentation with Chan-Vese model with an accompanying scale transformation to improve the segment speed and effect .Experimental results show that this program greatly enhances the convergent speed of the Chan-Vese model ,and it focuses on changing the defects of more iterative times and low diffusion speed of Chan-Vese model on the border of the image when its grayscale changes slowly .关键词
图像分割/活动轮廓模型/阈值分割/Chan-Vese模型/尺度变换Key words
image segmentation/active contour model/threshold segmentation/Chan-Vese model/scale transformation分类
信息技术与安全科学引用本文复制引用
唐治德,田斌..结合阈值算法的Chan-Vese模型图像分割方法[J].重庆大学学报,2014,(8):105-110,6.基金项目
国家自然科学基金资助项目（50877082）；重庆大学输配电装备及系统安全与新技术国家重点实验室研究项目 （）
