Research Article

Detection of the Objects by the Cross-correlation

by  Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Issue 12
Published: February 2016
Authors: Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi
10.5120/ijca2016908612
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Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi . Detection of the Objects by the Cross-correlation. International Journal of Computer Applications. 136, 12 (February 2016), 23-27. DOI=10.5120/ijca2016908612

                        @article{ 10.5120/ijca2016908612,
                        author  = { Moulay Lhabib Elhadi,Mohammed Merzougui,Moulay Youssef Hadi,Abdelaziz Mouloudi },
                        title   = { Detection of the Objects by the Cross-correlation },
                        journal = { International Journal of Computer Applications },
                        year    = { 2016 },
                        volume  = { 136 },
                        number  = { 12 },
                        pages   = { 23-27 },
                        doi     = { 10.5120/ijca2016908612 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2016
                        %A Moulay Lhabib Elhadi
                        %A Mohammed Merzougui
                        %A Moulay Youssef Hadi
                        %A Abdelaziz Mouloudi
                        %T Detection of the Objects by the Cross-correlation%T 
                        %J International Journal of Computer Applications
                        %V 136
                        %N 12
                        %P 23-27
                        %R 10.5120/ijca2016908612
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The recognition of shape is a method aiming the identification of the motives from raw data in order to take a decision depending on the category assigned to this motive. The method of motive detection by cross-correlation is a very efficient method in recognition of shape. Indeed, it permits to localize an object in an image. But, the value of the cross-correlation depends more of the level of gray of the image. In this article one proposes a solution of this inconvenience based on the Fourier Transform where by exploiting its phase for to localize an object while giving its position in the image.

References
  • Richard O. Duda, Peter E. Hart, David G. Stork, Pattern classification, Wiley-interscience,‎ 2001.
  • Dietrich Paulus and Joachim Hornegger (1998) Applied Pattern Recognition (2nd edition), Vieweg.
  • J.-M Friedt Auto et intercorr_elation, recherche de ressemblance dans les signaux : application a l'identifcation d'images floutées, 29 avril 2011
  • F. Roddier, Distributions and transformation de Fourier, Edisciences International, Paris (1978) [chapitre 11].
  • D.W. Kammler, A first course in Fourier analysis, Cambridge University Press, 2008.
  • Jean Dhombres et Jean-Bernard Robert, Fourier, créateur de la physique mathématique, collection “Un savant, une époque”, Belin, 1998
  • Dominique Flament, Histoire des nombres complexes : Entre algèbre et géométrie, Paris, CNRS Éditions.
  • Van des Schaaf A., Van Hateren J., "Modelling the Power Spectra of Natural Images : Statistics and Information",Vision Research, vol. 36, n°17, p. 2759-2770, 1996.
  • Q. Chen, M. Defrise and F. Deconinck, "Symmetric phase-only matched filtering of Fourier-Mellin transforms forimage registration and recognition", IEEE pattern analysis and machine intelligence, vol. 16, 1994, p. 1156-1168.
  • Qin-sheng Chen, Michel Defrise, and F. Deconinck Member, IEEE. Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transfoms For Image Registration and Recongition. Vol 16,NO.12 DECEBMER 1994.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Recognition of shape identification of motive cross-correlation Fourier Transform phase localization.

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