Image Retrieval Algorithm Based on Tezture and Color Features

摘要：

A novel image retrieval algorithm based on texture and color feathers was proposed. Firstly, the image was divided into non-overlapped blocks with equal size, and every pixel was given a new value (0 or 1) according to different color, then do the second division to the whole image and coding new blocks, counting the probability of every code and primary color. Finally, texture and color feathers method was applied in image retrieval. Experimental results show that the proposed algorithm has reasonable and robust performance and is more effective.

关键词： primary color feature eztra-ction sub-block coding comparability retrieval gray level co-occurrence matriz (GLCM)

作者: Yu Cai-xiang Qiu Shu-bo

作者单位: Automation Lab, Shandong Institute of Light Industory Jinan, China

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 125-128

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）