Shape Classification using Multiscale Fourier-based Description in 2-D Space
Shape Classification using Multiscale Fourier-based Description in 2-D Space
In shape recognition, the boundary and exterior parts are amongst the most discriminative features. In this paper, we propose new multiscale Fourier-based object descriptors in 2-D space, which represents the boundary and exterior parts of an object more than the central part. This representation is based on using a high-pass Gaussian filter at different scales. The proposed algorithm makes descriptors size, translation and rotation invariant as well as increasing discriminative power and immunity to noise. In comparison, the new algorithm performs better than elliptic Fourier descriptors and Zernike moments with respect to increasing noise.
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2008
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Direkoglu, Cem and Nixon, Mark S.
(2008)
Shape Classification using Multiscale Fourier-based Description in 2-D Space.
IEEE International Conference on Signal Processing (ICSP 2008), Beijing, China.
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Abstract
In shape recognition, the boundary and exterior parts are amongst the most discriminative features. In this paper, we propose new multiscale Fourier-based object descriptors in 2-D space, which represents the boundary and exterior parts of an object more than the central part. This representation is based on using a high-pass Gaussian filter at different scales. The proposed algorithm makes descriptors size, translation and rotation invariant as well as increasing discriminative power and immunity to noise. In comparison, the new algorithm performs better than elliptic Fourier descriptors and Zernike moments with respect to increasing noise.
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Published date: 2008
Additional Information:
Event Dates: October 2008
Venue - Dates:
IEEE International Conference on Signal Processing (ICSP 2008), Beijing, China, 2008-10-01
Organisations:
Southampton Wireless Group
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Local EPrints ID: 266817
URI: http://eprints.soton.ac.uk/id/eprint/266817
PURE UUID: 869fea50-a383-4378-a8ce-1c29b158ec73
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Date deposited: 21 Oct 2008 14:48
Last modified: 15 Mar 2024 02:35
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Author:
Cem Direkoglu
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