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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00843989:_____/19:E0107975

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

121-126

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Setúbal

Místo konání akce

Praha

Datum konání akce

22. 2. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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