Automatic Extraction of Blood Vessels and Veins using adaptive Filters in Fundus Image

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU111402" target="_blank" >RIV/00216305:26220/16:PU111402 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7760940" target="_blank" >https://ieeexplore.ieee.org/document/7760940</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2016.7760940" target="_blank" >10.1109/TSP.2016.7760940</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Extraction of Blood Vessels and Veins using adaptive Filters in Fundus Image

Popis výsledku v původním jazyce

The paper proposes a novel method for extraction of blood vessels and veins from medical image of human eye – retinal fundus images that can be used in ophthalmology for detecting various eyes’ diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of preprocessing of image by using adaptive histogram equalization by CLAHE algorithm of green channel of fundus retinal image. Subsequently, using adaptive filters and image convolution with filter mask as key point of proposed algorithm and subsequently is applied the operation erosion processed 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 adaptive Filters in Fundus Image

Popis výsledku anglicky

The paper proposes a novel method for extraction of blood vessels and veins from medical image of human eye – retinal fundus images that can be used in ophthalmology for detecting various eyes’ diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of preprocessing of image by using adaptive histogram equalization by CLAHE algorithm of green channel of fundus retinal image. Subsequently, using adaptive filters and image convolution with filter mask as key point of proposed algorithm and subsequently is applied the operation erosion processed 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

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

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

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

39th International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-5090-1287-9

ISSN

1805-5435

e-ISSN

—

Počet stran výsledku

4

Strana od-do

546-549

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Vídeň

Datum konání akce

27. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390164000119