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Multiresolution Shape Descriptions and their Applications in Medical Imaging

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Information Processing in Medical Imaging

Abstract

The recognition of objects in medical images and the analysis of their properties in space and time requires a representation that reflects properties of shape. These representations are independent of position, orientation and size. They can be based on ad hoc features, object boundaries, object interiors (figures), or object deformations.

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Author information

Authors and Affiliations

  1. Depts. of Computer Science, University of North Carolina, Chapel Hill, NC, USA

    John M. Gauch, William R. Oliver & Stephen M. Pizer

  2. Depts. of Pathology, University of North Carolina, Chapel Hill, NC, USA

    William R. Oliver

  3. Depts. of Radiology, University of North Carolina, Chapel Hill, NC, USA

    Stephen M. Pizer

Authors
  1. John M. Gauch
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  2. William R. Oliver
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  3. Stephen M. Pizer
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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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Gauch, J.M., Oliver, W.R., Pizer, S.M. (1988). Multiresolution Shape Descriptions and their Applications in Medical Imaging. 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_8

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  • DOI: https://doi.org/10.1007/978-1-4615-7263-3_8

  • 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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