Image retrieval based on Gaussian mixture approach to color localization

  • Authors:
  • Maria Luszczkiewicz-Piatek;Bogdan Smolka

  • Affiliations:
  • University of Lodz, Faculty of Mathematics and Computer Science, Department of Applied Computer Science, Lodz, Poland;Silesian University of Technology, Department of Automatic Control, Gliwice, Poland

  • Venue:
  • ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
  • Year:
  • 2011

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Abstract

The paper focuses on the possibilities of color image retrieval of the images sharing the similar location of particular color or set of colors present in the depicted scene. Themain idea of the proposed solution is based on treating image as a multispectral object, where each of its spectral channels shows locations of pixels of 11 basis colors within the image. Thus, each of the analyzed images has associated signature, which is constructed on the basis of the mixture approximation of its spectral components. The ability of determining of highly similar images, in terms of one or more basic colors, reveals that the proposed method provides useful and efficient tool for robust to impulse distortions image retrieval.