Texture Similarity Evaluation Using Ordinal Co-occurrence (TA-P4)

Author(s) : Mari Partio (Tampere University of Technology, Finland) Bogdan Cramariuc (Tampere University of Technology, Finland) Moncef Gabbouj (Tampere University of Technology, Finland)

Abstract : Co-occurrence matrices have been successfully used in texture analysis. However, due to noise and monotonic shifts in gray levels, traditional co-occurrence analysis may lead to erroneous results. Using the order of the gray values instead of the gray values themselves is shown to improve the retrieval accuracy. Ordinal measures have been used for many image processing tasks in the literature. In this paper, we propose a novel combination of ordinal measures and co-occurrence matrices. Features constructed in this paper represent the occurrence frequency of certain ordinal relationships at different distances and orientations. The proposed method gives encouraging results when comparing its retrieval performance to that of the traditional co-occurrence matrices.

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