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Integrated skeleton and boundary shape representation for medical image interpretation

  • Glynn P. Robinson
  • Alan C. F. Colchester
  • Lewis D. Griffin
  • David J. Hawkes
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

We propose a method of extracting and describing the shape of features from medical images which provides both a skeleton and boundary representation. This method does not require complete closed boundaries nor regularly sampled edge points. Lines between edge points are connected into boundary sections using a measure of proximity. Alternatively, or in addition, known connectivity between points (such as that available from traditional edge detectors) can be incorporated if known. The resultant descriptions are objectcentred and hierarchical in nature with an unambiguous mapping between skeleton and boundary sections.

Keywords

Voronoi Diagram Delaunay Triangulation Object Boundary Boundary Representation Edge Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Glynn P. Robinson
    • 1
  • Alan C. F. Colchester
    • 1
  • Lewis D. Griffin
    • 1
  • David J. Hawkes
    • 2
  1. 1.Department of NeurologyGuy's HospitalLondonEngland
  2. 2.Department of Radiological SciencesGuy's HospitalLondonEngland

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