A novel region-based image retrieval technique using spacial color distribution feature

摘要：

Having analyzed the drawbacks of image retrieval methods based on content, a novel image retrieval algorithm based on spacial color distribution entropy is proposed in this paper. Firstly, an image is segmented several regions by this algorithm. Secondly, spacial color distribution entropy is designed for each region, which takes not only the local color feature of the region into consideration, but also the spacial color distribution information of the region. With the robustness to rotation and translation, the algorithm avoids shortcoming of losing the location information in color histogram. Through experimental results and comparison with other methods, the proposed algorithm is effective for image retrieval.

作者: ZENG Zhi Yong ZHOU Li Hua

作者单位: Faculty of Software,Fujian Normal University Fuzhou 350007,China;National Key Laboratory of ISN,Xidi National Key Laboratory of ISN,Xidian University Xian 710071,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 210-213

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）