Image retrieval using weighted color co-occurrence matrix

  • Authors:
  • Dong Liang;Jie Yang;Jin-jun Lu;Yu-chou Chang

  • Affiliations:
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China

  • Venue:
  • BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
  • Year:
  • 2005

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Abstract

Weighted Color Co-occurrence Matrix (WCCM) is introduced as a novel feature for image retrieval. When indexing images with WCCM feature, the similarities of diagonal elements and non-diagonal elements are weighted respectively based on the Isolation Parameters of the query and prototype images. After weighting, the similarity of relevant matches to the query image is strengthened and the similarity of non-relevant matches to the query is weakened. The experiments show the effectiveness of WCCM based method.