Chen, Guangyi, Krishnan, Sridhar and Bui, Tien D. (2014) Ramanujan Sums for Image Pattern Analysis. International Journal of Wavelets, Multiresolution and Information Processing, 12 (01). p. 1450003. ISSN 0219-6913
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Official URL: http://dx.doi.org/10.1142/S0219691314500039
Abstract
Ramanujan Sums (RS) have been found to be very successful in signal processing recently. However, as far as we know, the RS have not been applied to image analysis. In this paper, we propose two novel algorithms for image analysis, including moment invariants and pattern recognition. Our algorithms are invariant to the translation, rotation and scaling of the 2D shapes. The RS are robust to Gaussian white noise and occlusion as well. Our algorithms compare favourably to the dual-tree complex wavelet (DTCWT) moments and the Zernike's moments in terms of correct classification rates for three well-known shape datasets.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering |
|---|---|
| Item Type: | Article |
| Refereed: | Yes |
| Authors: | Chen, Guangyi and Krishnan, Sridhar and Bui, Tien D. |
| Journal or Publication: | International Journal of Wavelets, Multiresolution and Information Processing |
| Date: | January 2014 |
| Digital Object Identifier (DOI): | 10.1142/S0219691314500039 |
| Keywords: | Ramanujan Sums (RS); invariant features; moment invariants; pattern recognition; Fourier transform (FT); Gaussian white noise; occlusion |
| ID Code: | 978239 |
| Deposited By: | Danielle Dennie |
| Deposited On: | 23 Jan 2014 18:03 |
| Last Modified: | 18 Jan 2018 17:46 |
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