Segmentation of Color Image Based on Partial Differential Equations

摘要：

Image segmentation is an important task in image processing. A lot of image segmentation methods or models have been proposed. But most of these methods cannot work well with color images, which actually contain more useful information about the objects inside. In this paper, a segmentation model for color images is proposed. The new model is based on the GAC segmentation model and extends the concept of gradient from one channel to three channels. Experiments show that the new model has better performance than the GAC model, especially in the segmentation of color images.

关键词： image segmentation image processing PDE GAC

作者: Chun Yuan Shangli Liang

作者单位: Division of Information Technology Graduate School at Shenzhen, Tsinghua University Shenzhen, China

会议类型: 国际会议

会议名称: 2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

会议地点: 杭州

会议语种:英文

页码: 618-620

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）