A novel moments generation inspired by 3D spherical harmonics for robust 2D shape description

Authors:
N. Ennahnahi;A. Bouhouch;M. Oumsis;M. Meknassi
Affiliations:
Informatics, Statistics & Quality Laboratory, Sciences Faculty, Dhar Mehraz, Sidi Mohammed Ben Abdellah University, Fez, Morocco;Informatics, Statistics & Quality Laboratory, Sciences Faculty, Dhar Mehraz, Sidi Mohammed Ben Abdellah University, Fez, Morocco;Informatics, Statistics & Quality Laboratory, Sciences Faculty, Dhar Mehraz, Sidi Mohammed Ben Abdellah University, Fez, Morocco;Informatics, Statistics & Quality Laboratory, Sciences Faculty, Dhar Mehraz, Sidi Mohammed Ben Abdellah University, Fez, Morocco
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper presents a novel 2D region-based shape descriptor inspired by 3D spherical harmonics. We propose an adaptation of the 3D spherical harmonics, which provides a novel set of orthogonal harmonic moments defined on a 2D unit disc. A novel generation of region-based shape descriptors is proposed: the Disk Harmonic Moment Descriptor (DHMD). This new descriptor is compared with other methods from the same category. Set B of the MPEG- 7-CE-1-Shape database is used for experimental validation. To benchmark the performance of the compared descriptors precision-recall pair and several statistics provided by the Princeton Shape Benchmark are employed. With its good accuracy in 2D shape retrieval, the proposed descriptor is very useful as a generic shape descriptor for content-based image retrieval applications.