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Please use this identifier to cite or link to this item: http://purl.org/purl/4570

Title: Performance Study of an Improved Legendre Moment Descriptor as Region-Based Shape Descriptor
Authors: Tessamma, Thomas
Dinesh Kumar, V P
Keywords: CBIR
Zernike Moments
Legendre Moments
Angular Radial Transformation
regionbased shape descriptor
Issue Date: 2008
Publisher: Pleiades Publishing, Ltd
Abstract: This paper reports a novel region-based shape descriptor based on orthogonal Legendre moments. The preprocessing steps for invariance improvement of the proposed Improved Legendre Moment Descriptor (ILMD) are discussed. The performance of the ILMD is compared to the MPEG-7 approved region shape descriptor, angular radial transformation descriptor (ARTD), and the widely used Zernike moment descriptor (ZMD). Set B of the MPEG-7 CE-1 contour database and all the datasets of the MPEG-7 CE-2 region database were used for experimental validation. The average normalized modified retrieval rate (ANMRR) and precision- recall pair were employed for benchmarking the performance of the candidate descriptors. The ILMD has lower ANMRR values than ARTD for most of the datasets, and ARTD has a lower value compared to ZMD. This indicates that overall performance of the ILMD is better than that of ARTD and ZMD. This result is confirmed by the precision-recall test where ILMD was found to have better precision rates for most of the datasets tested. Besides retrieval accuracy, ILMD is more compact than ARTD and ZMD. The descriptor proposed is useful as a generic shape descriptor for content-based image retrieval (CBIR) applications
Description: Pattern Recognition and Image Analysis, 2008, Vol. 18, No. 1, pp. 23–29
URI: http://dyuthi.cusat.ac.in/purl/4570
ISSN: 1054-6618
Appears in Collections:Dr.Tessamma Thomas

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