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.
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