In this work, we propose a new algorithm for the computation of Tchebichef moments by
means of a recurrence relation with respect to order and the Gram–Schmidt process, which …

Tchebichef moment is a novel set of orthogonal moment applied in the fields of image
analysis and pattern recognition. Less work has been made for the computation of …

This paper introduces a new set of orthogonal moment functions based on the discrete
Tchebichef polynomials. The Tchebichef moments can be effectively used as pattern …

Discrete orthogonal moments have several computational advantages over continuous
moments. However, when the moment order becomes large, discrete orthogonal moments …

In this paper, we show that the Exponent-Fourier moments (EFMs), as defined in Ref.[1] are
imprecise and the radial function of EFMs performs numerically unstable. At last, an …

A Modified Direct Method for the computation of the Zernike moments is presented in this
paper. The presence of many factorial terms, in the direct method for computing the Zernike …

This paper presents a novel approach to the fast computation of Zernike moments from a
digital image. Most existing fast methods for computing Zernike moments have focused on …

The problem of image reconstruction from its statistical moments is particularly interesting to
researchers in the domain of image processing and pattern recognition. Compared to …

Anisotropic scale and translation invariants (ASTI) for Tchebichef moments have been
proposed by Zhu et al.[27]. Since these invariants are derived via the decomposition of …

Zernike moments (ZMs) are used in many image processing applications due to their
superior performance over other moments. However, they suffer from high computation cost …