Region-based image retrieval using color-size features of watershed regions

Cheng Chieh Chiang*, Yi Ping Hung, Hsuan Yang, Greg C. Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


This paper presents a region-based image retrieval system that provides a user interface for helping to specify the watershed regions of interest within a query image. We first propose a new type of visual features, called color-size feature, which includes color-size histogram and moments, to integrate color and region-size information of watershed regions. Next, we design a scheme of region filtering that is based on color-size histogram to fast screen out some of most irrelevant regions and images for the preprocessing of the image retrieval. Our region-based image retrieval system applies the Earth Mover's Distance in the design of the similarity measure for image ranking and matching. Finally, we present some experiments for the color-size feature, region filtering, and retrieval results that demonstrate the efficiency of our proposed system.

Original languageEnglish
Pages (from-to)167-177
Number of pages11
JournalJournal of Visual Communication and Image Representation
Issue number3
Publication statusPublished - 2009 Apr


  • Color-size feature
  • Content-based image retrieval
  • Earth mover's distance
  • Region filtering
  • Region-based image retrieval
  • Visual feature

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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