JOURNAL ARTICLE

Hierarchical color image region segmentation for content-based image retrieval system

Chiou‐Shann FuhS. B. ChoKai Essig

Year: 2000 Journal:   IEEE Transactions on Image Processing Vol: 9 (1)Pages: 156-162   Publisher: Institute of Electrical and Electronics Engineers

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:
Image segmentation Artificial intelligence Computer science Image retrieval Scale-space segmentation Content-based image retrieval Pattern recognition (psychology) Image texture Segmentation Computer vision Segmentation-based object categorization Region growing Tree (set theory) Matching (statistics) Range segmentation Visual Word Image (mathematics) Mathematics

Metrics

94
Cited By
5.67
FWCI (Field Weighted Citation Impact)
13
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
© 2026 ScienceGate Book Chapters — All rights reserved.