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

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.