文献类型：会议论文

英文题名：A Hybrid Method of Block-based Region Growing and Visible Color Difference for Color Image Segmentation

作者：Yu Li-jie[1,2];Li De-sheng[1];Wang Yue-Zong[1]

第一作者：于丽杰;Yu Li-jie

通讯作者：Yu, LJ[1]

机构：[1]Beijing Univ Technol, Mech & Elect Technol Res Ctr, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Automat, Beijing, Peoples R China

第一机构：Beijing Univ Technol, Mech & Elect Technol Res Ctr, Beijing, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Technol, Mech & Elect Technol Res Ctr, Beijing, Peoples R China.

会议论文集：1st International Workshop on Education Technology and Computer Science

会议日期：MAR 07-08, 2009

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：component; visible color difference; region growing; sub-block; color image segmentation

摘要：In this paper we propose a color image segmentation algorithm based on visible color difference and block-based region growing techniques. Firstly, the original image is divide into image blocks which are not overlapped; then, the mean and variance of each image black was calculated in CIEL*a*b* color space, and the image blocks were divided into homogeneous color blocks and texture blocks by the variance of it. The Initial seed regions are automatically selected depending on calculating the homogeneous color blocks' color difference in CIEL*a*b* color space and spatial and adjacent information. The quadtree decomposition algorithm was applied to split and merge the texture blocks. Finally, the region growing and merging algorithm was to use and achieve the segmentation result. The experimental segmentation results hold favorable consistency in terms of human perception, and confirm effectiveness of the algorithm.