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2008-01-01 - Article/Dans un journal avec peer-review - Anglais - 8 page(s)

Cauchie J., Fiolet V., Villers Didier , "Optimization of an Hough transform algorithm for the search of a center" in Pattern Recognition, 41, 2, http://dx.doi.org/10.1016/j.patcog.2007.07.001

  • Edition : Pergamon Press - An Imprint of Elsevier Science
  • Codes CREF : Matériaux optiques (DI1256), Techniques d'imagerie et traitement d'images (DI2770), Physique appliquée des surfaces (DI2723)
  • Unités de recherche UMONS : Laboratoire Interfaces et Fluides complexes (S885)
  • Instituts UMONS : Institut de Recherche sur les Systèmes Complexes (Complexys)
Texte intégral :

Abstract(s) :

(Anglais) We present improvements of an adaptative Hough transform algorithm applied to the search of a common center of circular or partially circular components present in an image. The efficiency has been considerably optimized by a continuous update of a list of voting points, in conjunction with the evolution of the accumulator size and position. The method was implemented as a plugin for the scientific open source image processing package ImageJ. Although initially designed for X-ray diffraction analysis, numerous other applications are quoted in different other scientific field, in image measurement techniques, industrial vision, and biometry, i.e. for iris localization.

Identifiants :
  • DOI : 10.1016/j.patcog.2007.07.001