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Content-Based Image Retrieval Using Combined 2D Attribute Pattern Spectra

  • Florence Tushabe
  • Michael. H. F. Wilkinson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5152)

Abstract

This work proposes a region-based shape signature that uses a combination of three different types of pattern spectra. The proposed method is inspired by the connected shape filter proposed by Urbach et al. We extract pattern spectra from the red, green and blue color bands of an image then incorporate machine learning techniques for application in photographic image retrieval. Our experiments show that the combined pattern spectrum gives an improvement of approximately 30% in terms of mean average precision and precision at 20 with respect to Urbach et al’s method.

Keywords

Gray Level Image Retrieval Query Image Learning Vector Quantization Peak Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Florence Tushabe
    • 1
  • Michael. H. F. Wilkinson
    • 1
  1. 1.Institute of Mathematics and Computing ScienceUniversity of GroningenGroningenThe Netherlands

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