文献类型：会议论文

英文题名：An improved graph-based image segmentation algorithm

作者：Huang, Jinghua[1,2]; Zhang, Jingzun[1]; Wang, Yujian[1]

第一作者：Huang, Jinghua;黄静华

通讯作者：Huang, J.

机构：[1] Information School, Beijing Union University, Beijing, China; [2] School of Mechanical, Electronic and Information Engineering, China University of Mining Technology, Beijing, China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]Information School, Beijing Union University, Beijing, China|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：PACIIA 2009 - 2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications

会议日期：November 28, 2009 - November 29, 2009

会议地点：Wuhan, China

语种：英文

外文关键词：Artificial intelligence - Graphic methods - Image classification - Image enhancement

摘要：This paper proposes an efficient representation framework for image segmentation based on perceptual organization. Specifically, a new hierarchy of image representation with three levels is presented. In a bottom-up way, the framework transforms representation between the three levels, and takes the advantages of different organization techniques. A region-based organization approach is developed in the framework for image segmentation. The approach improves previous organization techniques, and makes image segmentation results globally optimum and greedily efficient. The experimental results have proved the effectiveness and efficiency of the image representation framework. ?2009 IEEE.