Content-based image retrieval using color histogram

  • Wen Bei Huang*
  • , Liang He
  • , Jun Zhong Gu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper introduces the principles of using color histogram to match images in CBIR (content-based image retrieval). And a prototype CBIR system is designed with color matching function. A method using 2-dimensional color histogram based on hue and saturation to extract and represent color information of an image is presented. We also improve the Euclidean-distance algorithm by adding center of color to it. The experiment shows modifications made to Euclidean-distance significantly elevate the quality and efficiency of retrieval.

Original languageEnglish
Pages (from-to)98-102
Number of pages5
JournalJournal of Donghua University (English Edition)
Volume23
Issue number4
StatePublished - Aug 2006

Keywords

  • Color feature
  • Color histogram
  • Content-based image retrieval
  • Histogram intersection
  • Similarity measure

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