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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Image reconstruction from a complete set of similarity invariants extracted from complex moments
Pattern Recognition Letters, Volume 27, No. 12, Year 2006
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Description
Various types of moments have been used to recognize image patterns in a number of applications. However, only few works have paid attention to the completeness property of the invariant descriptor set, which is of fundamental importance from the theoretical as well as the practical points of views. This paper proposes a systematic method to extract a complete set of similarity invariants (translation, rotation and scale), by means of some linear combinations of complex moments. The problem of image reconstruction from a finite set of its moment invariants is then examined by exploiting the link between the discrete Fourier transform of an image and its complex moments. Experimental results are presented that confirm theoretical properties as well as numerical effectiveness of the method. © 2006 Elsevier B.V. All rights reserved.
Authors & Co-Authors
Ghorbel, Faouzi
Tunisia, Manouba
Ecole Nationale Des Sciences de L'informatique
Derrode, Stéphane
France, Marseille
Institut Fresnel
Mezhoud, R.
Tunisia, Manouba
Ecole Nationale Des Sciences de L'informatique
Bannour, Tarek
Tunisia, Manouba
Ecole Nationale Des Sciences de L'informatique
Dhahbi, Sami
Tunisia, Manouba
Ecole Nationale Des Sciences de L'informatique
Statistics
Citations: 60
Authors: 5
Affiliations: 2
Identifiers
Doi:
10.1016/j.patrec.2006.01.001
ISSN:
01678655