1 January 2008 Fusion of Zernike moments and Fourier-Mellin transform for invariant image resolution
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Optical Engineering, 47(1), 017002 (2008). doi:10.1117/1.2835689
We consider the use of Zernike moments (ZMs) for rotation- and scale-invariant classification of images. It is well known that ZMs are rotation-invariant only. We make use of the major benefit of the Fourier-Mellin (FM) transformation, which changes the rotation and the scale into translation. We introduce a new algorithm, which fuses the ZMs with the FM transform and is invariant under both rotation and scaling. Two sets of images were used to test the proposed algorithm. Experimental results reveal that the proposed algorithm has much better recognition rate than using ZMs within a variation of rotation between 0 and 360 deg, and scaling down and up between 25% and 400% of the original size.
El_Sayed M. Saad, Mohiy M. Hadhoud, Moawad I. Dessouky, Mohamed Elhalawany, Alaa M. Abbas, "Fusion of Zernike moments and Fourier-Mellin transform for invariant image resolution," Optical Engineering 47(1), 017002 (1 January 2008). http://dx.doi.org/10.1117/1.2835689


Image fusion

Detection and tracking algorithms


Frequency modulation

Optical engineering

Pattern recognition

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