Image recognition using new set of separable three-dimensional discrete orthogonal moment invariants
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08083-1.pdf
Reference51 articles.
1. Abdalbari A, Ren J, Green M (2016) Seeds classification for image segmentation based on 3-D affine moment invariants. Biomed Eng Lett 6:224–233. https://doi.org/10.1007/s13534-016-0225-3
2. Abramowitz M, Stegun IA (1964) Handbook of mathematical functions: with formulas, graphs, and mathematical tables Courier Corporation
3. Abu-Mostafa YS, Psaltis D (1985) Image normalization by complex moments. IEEE Trans Pattern Anal Mach Intell, pp 46–55
4. Batioua I, Benouini R, Zenkouar K, El Fadili H (2017) Image analysis using new set of separable two-dimensional discrete orthogonal moments based on Racah polynomials. EURASIP Journal on Image and Video Processing 2017:20
5. Batioua I, Benouini R, Zenkouar K, Zahi A, El Fadili H (2017) 3D image analysis by separable discrete orthogonal moments based on Krawtchouk and Tchebichef polynomials Pattern Recognition
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