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International Conference on Computer Vision and Graphics

ICCVG 2016: Computer Vision and Graphics pp 408–417Cite as

Regions of Interest in a Fundus Image Selection Technique Using the Discriminative Analysis Methods

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

Abstract

A technique of formation of the effective features for the identification of regions of interest (ROI) in fundus images during laser coagulation is proposed. The technique is based on the texture analysis of selected image patterns. The analysis of informative value of obtained feature space and the selection of the most effective features is performed using the data discriminative analysis. The best values of image fragmentation dimensions for the image segmentation and the feature sets providing the precise identification required for regions of interest are determined herein.

This work was partially supported by the Ministry of education and science of the Russian Federation in the framework of the implementation of the Program of increasing the competitiveness of SSAU among the world’s leading scientific and educational centers for 2013–2020 years; by the Russian Foundation for Basic Research grants (#14-07-97040, # 15-29-03823, # 15-29-07077, #16-57-48006); by the ONIT RAS program # 6 “Bioinformatics, modern information technologies and mathematical methods in medicine” 2016.

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Author information

Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Nataly Ilyasova, Rustam Paringer & Alexander Kupriyanov

  2. Image Processing Systems Institute - Branch of the Federal Scientific Research Centre, “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia

    Nataly Ilyasova, Rustam Paringer & Alexander Kupriyanov

Authors
  1. Nataly Ilyasova
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  2. Rustam Paringer
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  3. Alexander Kupriyanov
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Corresponding author

Correspondence to Nataly Ilyasova .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Ilyasova, N., Paringer, R., Kupriyanov, A. (2016). Regions of Interest in a Fundus Image Selection Technique Using the Discriminative Analysis Methods. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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