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Local Greylevel Appearance Histogram Based Texture Segmentation

  • Conference paper
Digital Mammography (IWDM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6136))

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Abstract

We have developed a segmentation approach, which is based on modelling local texture information and incorporates both greylevel and spatial aspects. Variation in local greylevel configuration/appearance is represented in histogram format for which the distribution varies with texture appearance. Segmentation results based on full mammographic images are presented. In addition, the potential use of the segmentation results for mammographic risk assessment and abnormality detection is discussed.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK

    Reyer Zwiggelaar

Authors
  1. Reyer Zwiggelaar
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Editor information

Editors and Affiliations

  1. Institute of Informatics and Applications, University of Girona, Girona, Catalonia, Spain

    Joan Martí

  2. Institute of Informatics and Applications, University of Girona, Campus Montilivi, Ed. P-IV, 17071, Girona, Spain

    Arnau Oliver

  3. Computer Vision and Robotics Group, University of Girona, Av. Lluís Santaló, 17071, Girona, Spain

    Jordi Freixenet  & Robert Martí  & 

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Zwiggelaar, R. (2010). Local Greylevel Appearance Histogram Based Texture Segmentation. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_24

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  • DOI: https://doi.org/10.1007/978-3-642-13666-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13665-8

  • Online ISBN: 978-3-642-13666-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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