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Dissimilarity Measures for Visual Pattern Partitioning

  • Raquel Dosil
  • Xosé R. Fdez-Vidal
  • Xosé M. Pardo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3523)

Abstract

We define a visual pattern as an image feature with frequency components in a range of bands that are aligned in phase. A technique to partition an image into its visual patterns involves clustering of the band-pass filtered versions of the image according to a measure of congruence in phase or, equivalently, alignment in the filter’s responses energy maxima. In this paper we study some measures of dissimilarity between images and discuss their suitability to the specific task of misalignment estimation between energy maps.

Keywords

Mutual Information Visual Pattern Dissimilarity Measure Attention Point Medical Image Registration 
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 2005

Authors and Affiliations

  • Raquel Dosil
    • 1
  • Xosé R. Fdez-Vidal
    • 2
  • Xosé M. Pardo
    • 1
  1. 1.Dep. de Electrónica e ComputaciónUniv. de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Escola Politécnica SuperiorUniv. de Santiago de CompostelaLugoSpain

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