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Multiscale Methods and the Segmentation of Medical Images

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Medical Images: Formation, Handling and Evaluation

Part of the book series: NATO ASI Series ((NATO ASI F,volume 98))

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Abstract

Multiscale methods analyze an image via relationships between its properties at many different levels of spatial scale. Details and noise appear largely at small scale, and global properties of image objects appear at large scale. The segmentation of images into objects or coherent regions is therefore aided by viewing the image in multiscale terms. The methods and approaches that have been suggested for multiscale image analysis and for segmentation based on this analysis are summarized.

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Author information

Authors and Affiliations

  1. Depts. of Computer Science, Radiology, and Radiation Oncology, University of North Carolina, Chapel Hill, NC, 27599-3175, USA

    Stephen M. Pizer

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  1. Stephen M. Pizer
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Editor information

Editors and Affiliations

  1. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew E. Todd-Pokropek

  2. Computer Vision Research Group University Hospital Utrecht E02.222, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands

    Max A. Viergever

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© 1992 Springer-Verlag Berlin Heidelberg

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Pizer, S.M. (1992). Multiscale Methods and the Segmentation of Medical Images. In: Todd-Pokropek, A.E., Viergever, M.A. (eds) Medical Images: Formation, Handling and Evaluation. NATO ASI Series, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77888-9_5

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  • DOI: https://doi.org/10.1007/978-3-642-77888-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77890-2

  • Online ISBN: 978-3-642-77888-9

  • eBook Packages: Springer Book Archive

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