On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient computation of radial moment functions using symmetrical property
Pattern Recognition
A novel approach to the fast computation of Zernike moments
Pattern Recognition
On the computational aspects of Zernike moments
Image and Vision Computing
Circularly orthogonal moments for geometrically robust image watermarking
Pattern Recognition
Fast and numerically stable methods for the computation of Zernike moments
Pattern Recognition
A new robust digital image watermarking based on Pseudo-Zernike moments
Multidimensional Systems and Signal Processing
An effective image retrieval scheme using color, texture and shape features
Computer Standards & Interfaces
Algorithms for fast computation of Zernike moments and their numerical stability
Image and Vision Computing
Fast computation of orthogonal Fourier---Mellin moments in polar coordinates
Journal of Real-Time Image Processing
A novel speech content authentication algorithm based on Bessel-Fourier moments
Digital Signal Processing
Error Analysis in the Computation of Orthogonal Rotation Invariant Moments
Journal of Mathematical Imaging and Vision
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This paper aims at analyzing the performance of various fast methods for the computation of pseudo Zernike moments (PZMs) with respect to their time complexity and numerical stability. Based on these different types of existing methods, four new methods are also proposed. A computational framework is provided which integrates the fast calculation of pseudo Zernike polynomials (PZPs), the angular functions and symmetry/anti-symmetry property of complex kernel functions. It is shown that the recursive methods that compute PZMs of all orders =