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Selecting the structuring element for morphological texture classification

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Abstract

This paper deals with a concrete aspect of texture classification: the choice of a good structuring element (SE) when the texture features used for classification are obtained from morphological granulometries. First, a granulometry is defined from the morphological opening of the texture using a convex and compact subset containing the origin as SE. Then, some usual distributional descriptors (mean, variance, skewness and kurtosis) of the granulometric size distribution are used as texture features. The main point of the paper is the choice of a good SE from the point of view of texture classification. A methodology is explained and software has been developed that helps in such a choice, for any given criterion for the quality of the classification.

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Acknowledgements

Financial support to E. de Ves was provided by Generalitat Valenciana (project GV04A-177). Financial support to X. Benavent was provided by Generalitat Valenciana (project GV2005-184). Financial support to G. Ayala was provided by Spanish Ministry of Education and Science (projects HFSP RGY40/2003, TIC2002-03494) and Generalitat Valenciana (Grupos 04-08) Financial support to J. Domingo was provided by Generalitat Valenciana (project IIARCO2004-A-107)

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Authors and Affiliations

  1. Department of Informatics, University of Valencia, Valencia, Spain

    E. de Ves

  2. Institute of Robotics, University of Valencia, Aptdo. de correos 2085, 46071, Valencia, Spain

    X. Benavent & J. Domingo

  3. Department of Statistics and Operation Research, University of Valencia, Valencia, Spain

    G. Ayala

Authors
  1. E. de Ves
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  2. X. Benavent
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  3. G. Ayala
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  4. J. Domingo
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Correspondence to J. Domingo.

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de Ves, E., Benavent, X., Ayala, G. et al. Selecting the structuring element for morphological texture classification. Pattern Anal Applic 9, 48–57 (2006). https://doi.org/10.1007/s10044-006-0024-z

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