Computer Optics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


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

NUMERICAL METHODS AND DATA ANALYSIS

Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea

P. A. Khorina, N. Yu. Ilyasovaab, R. A. Paringerab

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Abstract: The study was devoted to the analysis of wavefront aberrations under changes of the cornea surface curvature in the human eye. The analysis was based on the representation of aberrations of the front and rear corneal surfaces as superposition of Zernike functions. Weight coefficients of the Zernike polynomials were the object of this study. The data under analysis were obtained in a number of clinical trials in the Branchevski’s eóå clinic. The most informative weight coefficients were analyzed from the point of view of classification of patients by particular diagnosis. A comparison of the classification results was carried out using thirty front and rear corneal features, as well as the most informative features. The features were ranked by the informativity criterion for solving a specific classification task. While doing analysis, the informativity was evaluated on the basis of values of a separability criterion. An additional estimation of informativeness was carried out by calculating the classification error by a K-means method. As a result of the analysis, basic Zernike functions that are most informative for particular eye pathologies were identified

Keywords: aberrations of the cornea, Zernike functions, myopia of the human eye, classification, feature space, analysis of the informative features.

Funding Agency Grant Number
Russian Academy of Sciences - Federal Agency for Scientific Organizations 007- ÃÇ/43363/26
Russian Science Foundation 15-29-03823
16-41-630761
Russian Foundation for Basic Research 17-01-00972
Ministry of Education and Science of the Russian Federation
The work was supported by the Federal Agency of Science organizations (agreement # 007-GZ/ 43363/26) in the paragraph "Model and the Russian Science Foundation (grants # 15-29-03823, # 16-41-630761, # 17-01-00972), as well as for partial support of the Ministry of Education and Science of the Russian Federation of the Samara Competitiveness Program University among the world's leading research and educational centers in 2013-2020.


DOI: https://doi.org/10.18287/2412-6179-2018-42-1-159-166

Full text: PDF file (1186 kB)
Full text: http://www.computeroptics.smr.ru/.../420119.html
References: PDF file   HTML file

Received: 29.09.2017
Accepted:26.11.2017

Citation: P. A. Khorin, N. Yu. Ilyasova, R. A. Paringer, “Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea”, Computer Optics, 42:1 (2018), 159–166

Citation in format AMSBIB
\Bibitem{KhoIlyPar18}
\by P.~A.~Khorin, N.~Yu.~Ilyasova, R.~A.~Paringer
\paper Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea
\jour Computer Optics
\yr 2018
\vol 42
\issue 1
\pages 159--166
\mathnet{http://mi.mathnet.ru/co490}
\crossref{https://doi.org/10.18287/2412-6179-2018-42-1-159-166}


Linking options:
  • http://mi.mathnet.ru/eng/co490
  • http://mi.mathnet.ru/eng/co/v42/i1/p159

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Computer Optics
    Number of views:
    This page:169
    Full text:53
    References:9

     
    Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2021