In this paper, a general
framework for computing accurate quaternion color moments and their
corresponding invariants is proposed. The proposed unified scheme arose by studying
the characteristics of different orthogonal polynomials. These polynomials are
used as kernels in order to form moments, the invariants of which can easily be
derived. The resulted scheme permits the usage of any polynomial-like kernel in
a unified and consistent way. The resulted moments and moment invariants demonstrate
robustness to noisy conditions and high discriminative power. Additionally, in the
case of continuous moments, accurate computations take place to avoid
approximation errors. Based on this general methodology, the quaternion
Tchebichef, Krawtchouk, Dual Hahn, Legendre, orthogonal Fourier–Mellin, pseudo
Zernike and Zernike color moments, and their corresponding invariants are
introduced. A selected paradigm presents the reconstruction capability of each
moment family, whereas proper classification scenarios evaluate the performance
of color moment invariants.
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