计算机工程2017，Vol.43Issue(4)：251-256,6.DOI:10.3969/j.issn.1000-3428.2017.04.043
基于先验色彩协方差约束的彩色图像分割
Color Image Segmentation Based on Prior Color Covariance Constraint
摘要
Abstract
When using vector active contours C-V model for image segmentation in the background with high brightness,target region with low brightness and image with discontinuous target color,the segmentation effect of target region is not ideal.Aiming at this problem,this paper constructs a color image segmentation model combined with prior color covariance and C-V model.It designs local Sigmoid function to process internal and external regional energies of curve evolution to accelerate the process of segmentation.For avoiding the segmentation ambiguity by brightness,it proposes secondary segmentation framework and background regional process system to ensure the fine segmentation of color image.Experimental result shows that the proposed model can extract the target region quickly and accurately.The segmented regions are with higher degree of internal homogeneity.关键词
C-V模型/先验色彩协方差/Sigmoid函数/背景区域处理/二次分割Key words
C-V model/prior color covariance/Sigmoid function/background region processing/secondary segmentation分类
信息技术与安全科学引用本文复制引用
彭浩,周新志,雷印杰..基于先验色彩协方差约束的彩色图像分割[J].计算机工程,2017,43(4):251-256,6.基金项目
国家"973"计划项目"基于负载特性的微波源实时智能控制理论与关键技术"(2013CB328903) （2013CB328903）
国家自然科学基金"基于四元数的非约束4D人脸识别方法研究"(61403265). （61403265）
