Fast Computation of Accurate Pseudo Zernike Moments for Binary and Gray-Level Images

Khalid Hosny
Faculty of Computers and Informatics, Zagazig University, Egypt

Abstract: A new method is proposed for fast computation of accurate pseudo-Zernike moments for binary and gray level images. These orthogonal moments are computed as a linear combination of accurate geometric and radial geometric moments which are computed by mathematical integration of the monomial polynomials over digital image pixels. The proposed method is fast, accurate, simple and easy programmable. A comparison with the existing methods is performed. The obtained results explain the efficiency of the proposed method.

Keywords: Pseudo-Zernike moment, geometric moments, symmetry property, fast computation, binary images, gray level images.

 

Received September 20, 2011; accepted May 22, 2012

  

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