Dissimilarity measures for visual pattern partitioning

  • Authors:
  • Raquel Dosil;Xosé R. Fdez-Vidal;Xosé M. Pardo

  • Affiliations:
  • Dep. de Electrónica e Computación, Univ. de Santiago de Compostela, Santiago de Compostela, Spain;Escola Politécnica Superior, Univ. de Santiago de Compostela, Lugo, Spain;Dep. de Electrónica e Computación, Univ. de Santiago de Compostela, Santiago de Compostela, Spain

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.