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

@article{Fuh2000HierarchicalCI,
  title={Hierarchical color image region segmentation for content-based image retrieval system},
  author={Chiou-Shann Fuh and Shun-Wen Cho and Kai Essig},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2000},
  volume={9 1},
  pages={
          156-62
        }
}
  • C. Fuh, S. Cho, K. Essig
  • Published 2000
  • Computer Science
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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… 
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