New set of adapted Gegenbauer–Chebyshev invariant moments for image recognition and classification-Reference-Cited by-同舟云学术

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New set of adapted Gegenbauer–Chebyshev invariant moments for image recognition and classification

Published:2020-11-09 Issue:6 Volume:77 Page:5637-5667
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Hjouji Amal,Bouikhalene Belaid,EL-Mekkaoui Jaouad,Qjidaa Hassan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-020-03450-4.pdf

Reference41 articles.

1. Wang X, Xiao B, Ma JF, Bi XL (2007) Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier-Mellin transforms. Pattern Recognit 40(12):3503–3508

2. Hu MK (1962) Visual pattern recognition by moment invariants. IRE Trans Inform Theory 8(2):179–187

3. Wang L, Healey G (1998) Using Zernike moments for the illumination and geometry invariant classification of multispectral texture. IEEE Trans Image Process 7(2):196–203

4. Papakostas GA, Boutalis YS, Karras DA, Mertzios BG (2007) A new class of Zernike moments for computer vision applications. Inf Sci 177(13):2802–2819

5. Lin H, Si J, Abousleman GP (2008) Orthogonal rotation invariant moments for digital image processing. IEEE Trans Image Process 17(3):272–282

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