Measuring rectangularity using GR-signature

  • Authors:

  • Jihen Hentati;Mohamed Naouai;Atef Hamouda;Christiane Weber

  • Affiliations:

  • Faculty of Science of Tunis, University campus el Manar DSI, Research unit Urpah;Faculty of Science of Tunis, University campus el Manar DSI, Research unit Urpah and Laboratory Image and Ville UMR7011-CNRS-University Strasbourg, Strasbourg;Faculty of Science of Tunis, University campus el Manar DSI, Research unit Urpah;Laboratory Image and Ville UMR7011-CNRS-University Strasbourg, Strasbourg

  • Venue:
  • MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
  • Year:
  • 2011

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Abstract

Object recognition often operates by making decisions based on the values of several shape properties measured from an image of the object. In this paper, we propose a new exploitation of the Radon Transform using the gradient measurement to generate a new signature (GR-signature) which provides global information of a binary shape regardless its form. We also develop a new method for measuring the rectangularity based on GR-signature. This original approach looks very promising and has several useful properties that keep fundamental geometrical transformations like scale, rotation and translation.