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Publication Detail
Multi-spectral probabilistic diffusion using Bayesian classification
  • Publication Type:
    Conference
  • Authors:
    Arridge SR, Simmons A
  • Publication date:
    01/01/1997
  • Pagination:
    225, 235
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    1252
  • ISBN-10:
    3540631674
  • ISBN-13:
    9783540631675
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer-Verlag Berlin Heidelberg 1997. This paper proposes a diffusion scheme for multi-spectral images which incorporates both spatial derivatives and feature-space classification. A variety of conductance terms are suggested that use the posterior probability maps and their spatial derivatives to create resistive boundaries that reflect objectness rather than intensity differences alone. A theoretical test case is discussed as well as simulated and real magnetic resonance dual echo images. We compare the method for both supervised and unsupervised classification.
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