Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU114097" target="_blank" >RIV/00216305:26220/15:PU114097 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7380421" target="_blank" >https://ieeexplore.ieee.org/document/7380421</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICGCIoT.2015.7380421" target="_blank" >10.1109/ICGCIoT.2015.7380421</a>

Jazyk výsledku

čeština

Název v původním jazyce

Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

Popis výsledku v původním jazyce

The paper proposes a novel method the extraction of blood vessels and veins from medical image of human eye – the retinal fundus images that can be used in ophthalmology for detecting various eye’ diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of preprocessing of the image by using adaptive histogram equalization by CLAHE algorithm of green channel of fundus retinal image. Subsequently, Laplace operator is used as a key point of proposed algorithm and then are applied the operation erosion processing image and removed small segments from image to enhance extraction of blood vessels from fundus image. The proposed technique analyzes detection and evaluates precision of the method on dataset, from public fundus image libraries DRIVE, and HRF, and compare with reference training results provided by these libraries.

Název v anglickém jazyce

Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

Popis výsledku anglicky

The paper proposes a novel method the extraction of blood vessels and veins from medical image of human eye – the retinal fundus images that can be used in ophthalmology for detecting various eye’ diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of preprocessing of the image by using adaptive histogram equalization by CLAHE algorithm of green channel of fundus retinal image. Subsequently, Laplace operator is used as a key point of proposed algorithm and then are applied the operation erosion processing image and removed small segments from image to enhance extraction of blood vessels from fundus image. The proposed technique analyzes detection and evaluates precision of the method on dataset, from public fundus image libraries DRIVE, and HRF, and compare with reference training results provided by these libraries.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICGCIoT - International CConference of Green Computing and Internet of Things 2015

ISBN

978-1-4673-7909-0

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

23-26

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Greater Noida, India

Datum konání akce

8. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380517100005