We propose orthogonal Fourier-Mellin moments, which are more suitable
than Zernike moments, for scale-and rotation-invariant pattern recognition.
The new orthogonal radial polynomials have more zeros than do the
Zernike radial polynomials in the region of small radial distance.
The orthogonal Fourier-Mellin moments may be thought of as generalized
Zernike moments and orthogonalized complex moments. For small images,
the description by the orthogonal Fourier-Mellin moments is better
than that by the Zernike moments in terms of image-reconstruction
errors and signal-to-noise ratio. Experimental results are shown.
%0 Journal Article
%1 Sheng1994
%A Sheng, Yunlong
%A Shen, Lixin
%D 1994
%I OSA
%J Journal of the Optical Society of America (JOSA)
%K imported
%N 6
%P 1748--1757
%R 10.1364/JOSAA.11.001748
%T Orthogonal Fourier-Mellin moments for invariant pattern recognition
%U http://josaa.osa.org/abstract.cfm?URI=josaa-11-6-1748
%V 11
%X We propose orthogonal Fourier-Mellin moments, which are more suitable
than Zernike moments, for scale-and rotation-invariant pattern recognition.
The new orthogonal radial polynomials have more zeros than do the
Zernike radial polynomials in the region of small radial distance.
The orthogonal Fourier-Mellin moments may be thought of as generalized
Zernike moments and orthogonalized complex moments. For small images,
the description by the orthogonal Fourier-Mellin moments is better
than that by the Zernike moments in terms of image-reconstruction
errors and signal-to-noise ratio. Experimental results are shown.
@article{Sheng1994,
abstract = {We propose orthogonal Fourier-Mellin moments, which are more suitable
than Zernike moments, for scale-and rotation-invariant pattern recognition.
The new orthogonal radial polynomials have more zeros than do the
Zernike radial polynomials in the region of small radial distance.
The orthogonal Fourier-Mellin moments may be thought of as generalized
Zernike moments and orthogonalized complex moments. For small images,
the description by the orthogonal Fourier-Mellin moments is better
than that by the Zernike moments in terms of image-reconstruction
errors and signal-to-noise ratio. Experimental results are shown.},
added-at = {2011-03-27T19:47:06.000+0200},
author = {Sheng, Yunlong and Shen, Lixin},
biburl = {https://www.bibsonomy.org/bibtex/25bc4bb3a58c9a3a626c0ec88cbc42d1d/cocus},
doi = {10.1364/JOSAA.11.001748},
interhash = {f3dbfe979b2c4f614420266a7574287e},
intrahash = {5bc4bb3a58c9a3a626c0ec88cbc42d1d},
journal = {Journal of the Optical Society of America ({JOSA})},
keywords = {imported},
number = 6,
owner = {CK},
pages = {1748--1757},
publisher = {OSA},
timestamp = {2011-03-27T19:47:10.000+0200},
title = {Orthogonal Fourier-Mellin moments for invariant pattern recognition},
url = {http://josaa.osa.org/abstract.cfm?URI=josaa-11-6-1748},
volume = 11,
year = 1994
}