Retinal blood vessels modeling based on fuzzy sobel edge detection and morphological segmentation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242725" target="_blank" >RIV/61989100:27240/19:10242725 - isvavai.cz</a>

Alternative codes found

RIV/00843989:_____/19:E0107975

Result on the web

<a href="https://pdfs.semanticscholar.org/c5f1/8f86fbe539d1d7b8159a066fbc035ef19ec7.pdf?_ga=2.74524626.178587375.1582280104-1534424144.1549445710" target="_blank" >https://pdfs.semanticscholar.org/c5f1/8f86fbe539d1d7b8159a066fbc035ef19ec7.pdf?_ga=2.74524626.178587375.1582280104-1534424144.1549445710</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Retinal blood vessels modeling based on fuzzy sobel edge detection and morphological segmentation

Original language description

In the clinical ophthalmology, the retinal blood vessels processing represent a significant issue regarding the clinical diagnosis. A level of the blood vessels curvature may serve as a reliable indicator of the pathological process. For curvature estimation, a precise model of the retinal blood vessels is necessary. In this paper, we propose a method based on the sensitive edge detector utilizing the fuzzy rules and morphological techniques. The fuzzy edge detector is able to even detect edges while suppressing the high frequency image noise in the non-contrast environment where the image spatial characteristics are weak. Consequent morphological operations serve for adjustment of the segmentation procedure to obtain the smooth model which effectively separates the retinal blood vessels from the retinal background. In the final step, we obtain the binary mathematical model of the retinal blood vessels. We have verified the proposed method against the gold standard images. We have applied the proposed solution on the low-contrast retinal data from the RetCam 3 which is standard for Retinopathy of prematurity. Mostly, when using the RetCam 3, the retinal data has lower contrast therefore, the segmentation procedure is supposed to be robust, even in the noisy environment. (C) 2019 by SCITEPRESS - Science and Technology Publications, Lda.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

BIODEVICES 2019 - 12th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

ISBN

978-989-758-353-7

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

121-126

Publisher name

SciTePress - Science and Technology Publications

Place of publication

Setúbal

Event location

Praha

Event date

Feb 22, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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