Robust Affine Invariant Region-Based Shape Descriptors: The ICA Zernike Moment Shape Descriptor and the Whitening Zernike Moment Shape Descriptor

In this letter, we proposed two new affine invariant region-based shape descriptors, the ICA Zernike moment shape descriptor (ICAZMSD) and the whitening Zernike moment shape descriptor (WZMSD). Either independent component analysis (ICA) or whitening, is first used to turn the original shape into a...

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Bibliographic Details
Published in:IEEE signal processing letters 2009-10, Vol.16 (10), p.877-880
Main Authors: Ye Mei, Androutsos, D.
Format: Article
Language:English
Subjects:
Affine invariant
Computer vision
Image databases
Image recognition
Image retrieval
Independent component analysis
Independent Component Analysis (ICA)
Information retrieval
Reflection
Robustness
Shape
shape descriptor
Spatial databases
Studies
whitening
Zernike moments
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Summary:In this letter, we proposed two new affine invariant region-based shape descriptors, the ICA Zernike moment shape descriptor (ICAZMSD) and the whitening Zernike moment shape descriptor (WZMSD). Either independent component analysis (ICA) or whitening, is first used to turn the original shape into a canonical form, in which the effects of scaling and skewing are eliminated. Next, the properties of the Zernike transform are used to further eliminate the effects of any possible rotation and reflection of the canonical shapes, in extracting the Zernike moments as the affine invariant region-based descriptors. Using the proposed ICAZMSD as shape feature, shape-based image retrieval experiments on a 4000 complex shape image database and on a 5600 simple shape image database, show retrieval rates of 99.80% and 92.25%, respectively. Using the proposed WZMSD as shape feature, the corresponding retrieval rates are 99.79% and 92.22%, respectively. The proposed WZMSD has almost equal performance to the proposed ICAZMSD, while having lower computational requirements.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2026119