https://scholars.lib.ntu.edu.tw/handle/123456789/288724
標題: | Hierarchical color image region segmentation for content-based image retrieval system | 作者: | CHIOU-SHANN FUH Cho, Shun-Wen Essig, K. |
關鍵字: | Color image processing; Data structures; Feature extraction; Hierarchical systems; Information retrieval systems; Mathematical models; Merging; Object recognition; Pattern matching; Color segmentation; Image retrieval system; Region extraction; Tree matching method; Image segmentation | 公開日期: | 2000 | 卷: | 9 | 期: | 1 | 起(迄)頁: | 156-162 | 來源出版物: | IEEE Transactions on Image Processing | 摘要: | In this work, we propose a model of a content-based image retrieval system by using the new idea of combining a color segmentation with relationship trees and a corresponding tree-matching method. We retain the hierarchical relationship of the regions in an image during segmentation. Using the information of the relationships and features of the regions, we can represent the desired objects in images more accurately. In retrieval, we compare not only region features but also region relationships. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-0033903685&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/288724 |
ISSN: | 10577149 | DOI: | 10.1109/83.817608 |
顯示於: | 資訊工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。