Tessamma, Thomas; Dinesh Kumar, V P(Pleiades Publishing, Ltd, 2008)
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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