Journal
INFORMATION SCIENCES
Volume 505, Issue -, Pages 388-405Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2019.07.089
Keywords
Quaternion weighted spherical; Bessel-Fourier moment; Color moment invariant; Color image reconstruction; Color object recognition
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Funding
- Key Program of NSFC [U1405255]
- Shaanxi Science & Technology Coordination & Innovation Project [2016KTZDGY05-06]
- Fundamental Research Funds for the Central Universities [SA-ZD161504, JB171504]
- National Natural Science Foundation of China [61702404]
- China Postdoctoral Science Foundation [2017M613080]
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Moments with capable of representing global features have been widely used in image analysis, pattern recognition and computer vision applications. However, existing image moment theories are still mainly paid close attention to gray-scale images. In this paper, a new quaternion moment termed as Quaternion weighted Spherical Bessel-Fourier Moment (QSBFM) is proposed to address the issue of color image analysis. Moreover, the relationship between QSBFM and the conventional weighted spherical Bessel-Fourier moment has been established so that the computational cost of QSBFM can be efficiently reduced. Furthermore, the natively geometric invariance of QSBFM is presented and discussed in detail. Experimental results show that the proposed QSBFM outperforms frequently-used quaternion moments including quaternion Bessel-Fourier moment, quaternion Radial-Harmonic-Fourier moment, quaternion Chebyshev-Fourier moment and quaternion orthogonal Fourier-Mellin moment in terms of the color image reconstruction capability and invariant recognition accuracy in noise-free, Salt & Pepper noise and the Gaussian noise conditions. (C) 2019 Elsevier Inc. All rights reserved.
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