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Information Processing in Medical Imaging pp 45–64Cite as

A Meta-Model for Segmentation Problems in Mathematical Morphology

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Abstract

In Image Analysis, segmentation is a concept widely in use, being a basic transformation in most studies. As a general rule, the word segmentation is intended for “partition”, or “division” of an image into regions that are uniform according to given criteria. However, we shall use it in a more restricted sense, i.e. the extraction of an object in a complex image, a meaning which is closer to that used in pattern recognition.

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Author information

Authors and Affiliations

  1. Centre de Morphologie Mathématique, Ecole des Mines de Paris, 35 rue St Honoré, 77300, Fontainebleau, France

    Isabelle Bloch, Francoise Preteux & Frédéric Boulanger

  2. IMSTAR, 60 rue Notre Dame des Champs, 75006, Paris, France

    Françoise Soussaline

Authors
  1. Isabelle Bloch
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  2. Francoise Preteux
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  3. Frédéric Boulanger
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  4. Françoise Soussaline
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Editor information

Editors and Affiliations

  1. Institute of Nuclear Medicine, University Hospital Utrecht, room 73038, Catharijnesingel 101, 3511 GV, Utrecht, The Netherlands

    C. N. de Graaf

  2. Dept. of Mathematics and Informatics, Delft University of Technology, PO Box 356, 2600 AJ, Delft, The Netherlands

    M. A. Viergever

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© 1988 Springer Science+Business Media New York

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Bloch, I., Preteux, F., Boulanger, F., Soussaline, F. (1988). A Meta-Model for Segmentation Problems in Mathematical Morphology. In: de Graaf, C.N., Viergever, M.A. (eds) Information Processing in Medical Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7263-3_3

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  • DOI: https://doi.org/10.1007/978-1-4615-7263-3_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7265-7

  • Online ISBN: 978-1-4615-7263-3

  • eBook Packages: Springer Book Archive

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