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

  • Authors:
  • Cheng-Chieh Chiang;Yi-Ping Hung;Hsuan Yang;Greg C. Lee

  • Affiliations:
  • Department of Information Technology, Takming University of Science and Technology, Taipei, Taiwan;Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2009

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Abstract

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.