Optimization of an Hough transform algorithm for the search of a center

  • Authors:
  • Julien Cauchie;Valérie Fiolet;Didier Villers

  • Affiliations:
  • Laboratoire de Physicochimie des Polymères, Université de Mons-Hainaut, 20 Place du Parc, B-7000 Mons, Belgium;Service d'informatique, Université de Mons-Hainaut, 20 Place du Parc, B-7000 Mons, Belgium;Laboratoire de Physicochimie des Polymères, Université de Mons-Hainaut, 20 Place du Parc, B-7000 Mons, Belgium

  • Venue:
  • Pattern Recognition
  • Year:
  • 2008

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Abstract

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.