A novel algorithm for accurate computation of Pseudo-Zernike moments in cartesian coordinates
Bo Li, Guojun Zhang, Bo Fu · 2010
In order to effectively apply Pseudo-Zernike moments to the image analysis and the pattern recognition, a novel algorithm for accurate computation of Pseudo-Zernike moments is proposed. This new algorithm introduces a triangle-integration method, and can overcome the drawbacks of the existing method. The performance of the algorithm is experimentally examined using grayscale image, and it shows that the computational accuracy of Pseudo-Zernike has been obviously improved.