Journal: Drug Invention Today

Article Id: JPRS-Pcol-00002332
Title: Analysis of thick and thin vessel pixel clustering for retinal blood vessel image segmentation
Category: Pharmacology
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    Aim: In this work, we revealed that digital image processing is an actual topic at present and it is widely used in various fields of medicine, including diagnosis of the eye fundus. Methods: We carried out the analysis of the correlation between results of the segmentation and the selected number of classes. Results: An analysis of the dependence of the blood vessel segmentation results on the image of the eye fundus from various partitions to pixel classes corresponding to thick and thin vessels obtained by k-means clustering was made. Conclusion: Using the openly accessible database of eye fundus images DRIVE, we fulfilled the computational experiments which results demonstrated the effectiveness of the analyzed method of retinal blood vessels segmentation based on the separate thick and thin vessel pixel clusterings.

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    Author(s) Name:

    Daria A. Chernomorets1 , Vladimir M. Mikhelev1 , Andrey A. Chernomorets2 *, Denis S. Batishchev1 , Evgeniya V. Bolgova1

    Affiliation(s) Name:

    1 Department of Mathematics and Software Information System, Belgorod State National Research, 85 Pobeda St, Belgorod, 308015, Russia,

    2 Department of Applied Informatics and Information Technologies, Belgorod State National Research University, Belgorod, Russia

    *Corresponding author: Andrey A. Chernomorets, Department of Applied Informatics and Information Technologies, Belgorod State National Research University, 85 Pobedy St., Belgorod, 308015, Russia.

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    Author:

    Daria A. Chernomorets1 , Vladimir M. Mikhelev1 , Andrey A. Chernomorets2 *, Denis S. Batishchev1 , Evgeniya V. Bolgova1

    Title:Analysis of thick and thin vessel pixel clustering for retinal blood vessel image segmentation
    Journal:Drug Invention Today
    Vol(issue):10 (July)
    Year:2018
    Page No: (1106-1111)
  • Experimental Methods Keywords

    Methodology: Clustering, DRIVE database, Eye fundus, K-means method, Matlab, Retinal blood vessels, Segmentation
    Research Materials:Retinal blood vessels

Keywords

Clustering DRIVE database Eye fundus K-means method Matlab Retinal blood vessels Segmentation

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