Accurate computation and error analysis of Pseudo-Zernike moments

Bo Li, Guojun Zhang, Bo Fu · 2010

The error analysis and analytic characteristics of pseudo-Zernike moments influence their feature extraction capabilities seriously. However, there are few researches in the accurate computation of pseudo-Zernike moments. For the purpose of effectively applying Pseudo-Zernike moments to the image analysis and the pattern recognition, a novel algorithm for accurate computation of Pseudo-Zernike moments is proposed, and then error analysis of this algorithm is carried out. Finally, several experiments are designed to verify the performance of the proposed algorithm.

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