The Improved Algorithm For Color-texture Image Segmentation

摘要：

This paper present all improved algorithm based seeded region growing(SRG)for color-texture textile image segmentation．The algorithm improve the over-segmented phenomenon of the color-texture textile image used Euclidean distance,relative Euclidean distance and discrete cosine transform(DCT)to quantify the color and texture information iN seed sflectiou,regton growing and regton mergmg steps. Experimental results show that the algorithm has good segmented results for color-texture textile image in the case of selecting appropriate parameters．

关键词： textile image seeded region growing color-texture segmentation Euclidean distance relative Euclidean distance discrete cosine transform

作者: Jing Junfeng Li Pengfei Long Guanshui

作者单位: College of Electronics and Information Xi an Polytechnic University Xi an, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 47-50

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）