DocumentCode
1291615
Title
Hierarchical color image region segmentation for content-based image retrieval system
Author
Fuh, Chiou-Shann ; Cho, Shun-Wen ; Essig, Kai
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
9
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
156
Lastpage
162
Abstract
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
Keywords
content-based retrieval; feature extraction; image colour analysis; image matching; image segmentation; visual databases; content-based image retrieval; feature extraction; hierarchical color image region segmentation; region features; region relationships; relationship trees; tree-matching method; Color; Content based retrieval; Data mining; Feature extraction; Image retrieval; Image segmentation; Information retrieval; Lighting; Merging; Reflectivity;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.817608
Filename
817608
Link To Document