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  • Research Article
  • Open Access

An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

EURASIP Journal on Image and Video Processing20072007:017358

  • Received: 5 May 2006
  • Accepted: 30 October 2006
  • Published:


We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes. Features obtained using the framework represent the occurrence frequency of certain ordinal relationships at different distances and orientations. In the ordinal co-occurrence matrix framework, the actual pixel values do not affect the features, instead, the ordinal relationships between the pixels are taken into account. Therefore, the derived features are invariant to monotonic gray-level changes in the pixel values and can thus be applied to textures which may be obtained, for example, under different illumination conditions. Described ordinal co-occurrence matrix approaches are tested and compared against other well-known ordinal and nonordinal methods.


  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Occurrence Frequency
  • Illumination Condition


Authors’ Affiliations

Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, 33101, Finland
Tampere eScience Applications Center, P.O. Box 105, Tampere, 33721, Finland


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© Mari Partio et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.