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An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

EURASIP Journal on Image and Video Processing volume 2007, Article number: 017358 (2007) Cite this article

Abstract

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.

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Authors and Affiliations

  1. Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, 33101, Finland

    Mari Partio & Moncef Gabbouj

  2. Tampere eScience Applications Center, P.O. Box 105, Tampere, 33721, Finland

    Bogdan Cramariuc

Authors
  1. Mari Partio
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  2. Bogdan Cramariuc
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  3. Moncef Gabbouj
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Corresponding author

Correspondence to Mari Partio.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Partio, M., Cramariuc, B. & Gabbouj, M. An Ordinal Co-occurrence Matrix Framework for Texture Retrieval. J Image Video Proc 2007, 017358 (2007). https://doi.org/10.1155/2007/17358

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  • DOI: https://doi.org/10.1155/2007/17358

Keywords

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