A scalable integrated region-based image retrieval system

Y. Du, J. Z. Wang

Research output: Contribution to conferencePaper

15 Scopus citations

Abstract

In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (Integrated Region Matching), a measure developed to evaluate overall similarity between images incorporates properties of all the regions in the images by a region-matching scheme. The algorithm has been implemented as a part of our experimental SIMPLIcity image retrieval system and tested on large-scale image databases of both general-purpose images and pathology slides. Experiments have demonstrated that this technique maintains the accuracy of the original system while reducing the matching time significantly.

Original languageEnglish (US)
Pages22-25
Number of pages4
StatePublished - Jan 1 2001
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP) 2001
CountryGreece
CityThessaloniki
Period10/7/0110/10/01

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Du, Y., & Wang, J. Z. (2001). A scalable integrated region-based image retrieval system. 22-25. Paper presented at IEEE International Conference on Image Processing (ICIP) 2001, Thessaloniki, Greece.