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JOURNALS // Computer Optics

Computer Optics, 2018, Volume 42, Issue 1, Pages 159–166 (Mi co490)

Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea
P. A. Khorin, N. Yu. Ilyasova, R. A. Paringer

References

1. N.Yu. Ilyasova, “Methods for digital analysis of human vascular system. Literature review”, Computer Optics, 37:4 (2013), 511–535 (in Russian)  adsnasa  elib
2. M. Born, E. Wolf, Principles of optics: Electromagnetic theory of propagation, interference and diffraction of light, Cambridge University Press, Cambridge, 1999 (in Russian)
3. D.A. Atchison, “Recent advances in measurement of monochromatic aberrations of human eyes”, Clinical and Experimental Optometry, 88 (2005), 5–27  crossref
4. A.S. Goncharov, A.V. Larichev, N.G. Iroshnikov, V.Yu. Ivanov, S.A. Gorbunov, “Modal tomography of aberrations of the human eye”, Laser Physics, 16:12 (2006), 1689–1695  crossref  adsnasa  elib
5. M. Lombardo, G. Lombardo, “New methods and techniques for sensing the wave aberrations in human eyes”, Clinical and Experimental Optometry, 92:3 (2009), 176–186  crossref
6. P. Artal, “Optics of the eye and its impact in vision: A tutorial”, Advances in Optics and Photonics, 6:3 (2014), 340–367  crossref  mathscinet
7. N.Yu. Ilyasova, D.A. Abulkhanov, A.V. Kupriyanov, A.V. Karsakov, “Evaluation of aberrations in the optical system of the human eye based on the spatial spectrum of a diagnostic image”, CEUR Workshop Proceedings, 1638 (2016), 39–48
8. S.G. Farah, D.T. Azar, C. Gurdal, J. Wong, “Laser in situ keratomileusis: Literature review of a developing technique”, Journal of Cataract and Refractive Surgery, 24:7 (1998), 989–1006  crossref
9. C. Roberts, “Biomechanics of the cornea and wavefront guided laser refractive surgery”, Journal of Refractive Surgery, 18:5 (2002), S589–S592
10. M. O'Keefe, N. O'Keeffe, “Corneal surgical approach in the treatment of presbyopia”, Journal of Clinical and Experimental Ophthalmology, 7:1 (2016)
11. A.V. Bakholdin, N.F. Korshikova, D.N. Cherkasova, “Computer modeling of the human eye optical system”, Journal of Instrument Engineering, 55:4 (2012), 68–73 (in Russian)  mathscinet  elib
12. Y. Ha, D. Zhao, Y. Wang, V.V. Kotlyar, S.N. Khonina, V.A. Soifer, “Diffractive optical element for Zernike decomposition”, Proceedings of SPIE, 3557 (1998), 191–197  crossref  adsnasa
13. S.N. Khonina, V.V. Kotlyar, Y. Wang, “Diffractive optical element matched with Zernike basis”, Pattern Recognition and Image Analysis, 11:2 (2001), 442–445
14. S.N. Khonina, V.V. Kotlyar, D.V. Kirsh, “Zernike phase spatial filter for measuring the aberrations of the optical structures of the eye”, Journal of Biomedical Photonics and Engineering, 1:2 (2015), 146–153  crossref
15. M.S. Kirilenko, P.A. Khorin, A.P. Porfirev, “Wavefront analysis based on Zernike polynomials”, CEUR Workshop Proceedings, 1638 (2016), 66–75
16. A.P. Porfirev, S.N. Khonina, “Experimental investigation of multi-order diffractive optical elements matched with two types of Zernike functions”, Proceedings of SPIE, 9807 (2016)
17. P.A. Khorin, S.A. Degtyarev, “Wavefront aberration analysis with a multi-order diffractive optical element”, CEUR Workshop Proceedings, 1900 (2017), 28–33
18. Visiometrics, WaveLight Oculyzer User’s Manual, 2012
19. P.A. Khorin, S.N. Khonina, A.V. Karsakov, S.L. Branchevsky, “Analysis of corneal aberrations of the human eye”, Computer Optics, 40:6 (2016), 810–817 (in Russian)  adsnasa  elib
20. V.N. Vapnik, The nature of statistical learning theory, Springer-Verlag, New York, 2000, 314 pp.  mathscinet
21. K. Fukunaga, Introduction to statistical pattern recognition, Academic Press, San Diego, 1990, 592 pp.  mathscinet
22. N. Ilyasova, R. Paringer, A. Kupriyanov,L.J. Chmielewski, A. Datta, R. Kozera, K. Wojciechowski, “Regions of interest in a fundus image selection technique using the discriminative analysis methods”, Computer Vision and Graphics, Springer International Publishing AG, 2016, 408–417  crossref
23. V.V. Kutikova, A.V. Gaidel, “Study of informative feature selection approaches for the texture image recognition problem using Laws' masks”, Computer Optics, 39:5 (2015), 744–750 (in Russian)  adsnasa  elib
24. A.V. Gaidel, V.R. Krasheninnikov, “Feature selection for diagnosing the osteoporosis by femoral neck X-ray images”, Computer Optics, 40:6 (2016), 939–946 (in Russian)  adsnasa  elib


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