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Measuring rectangularity using GR-signature. Advances in pattern recognition

Jihen Hentati Mohamed Naouai 1 Atef Hamouda 1 Christiane Weber 2
1 URPAH - Unité de Recherche en Programmation Algorithmique et Heuristique
2 LIVE - Laboratoire Image, Ville, Environnement [Strasbourg]
Abstract : Object recognition often operates by making decisions based on the values of several shapes 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.
Keywords : rectangularity shape descriptor Radon Transform gradient measurement
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https://halshs.archives-ouvertes.fr/halshs-00624753
Contributor : Rosine Schlumberger <>
Submitted on : Monday, September 19, 2011 - 4:33:39 PM
Last modification on : Tuesday, November 24, 2020 - 10:50:13 AM

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Jihen Hentati, Mohamed Naouai, Atef Hamouda, Christiane Weber. Measuring rectangularity using GR-signature. Advances in pattern recognition. Lecture Notes in Computer Science, Springer, 2011, 6718, pp.136-145. ⟨halshs-00624753⟩

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