Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F13%3A00060612" target="_blank" >RIV/00159816:_____/13:00060612 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/13:PU102902

Výsledek na webu

<a href="http://dx.doi.org/10.1049/iet-ipr.2012.0455" target="_blank" >http://dx.doi.org/10.1049/iet-ipr.2012.0455</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/iet-ipr.2012.0455" target="_blank" >10.1049/iet-ipr.2012.0455</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

Popis výsledku v původním jazyce

Automatic assessment of retinal vessels plays an important role in the diagnosis of various eye, as well as systemic diseases. A public screening is highly desirable for prompt and effective treatment, since such diseases need to be diagnosed at an earlystage. Automated and accurate segmentation of the retinal blood vessel tree is one of the challenging tasks in the computer-aided analysis of fundus images today. We improve the concept of matched filtering, and propose a novel and accurate method for segmenting retinal vessels. Our goal is to be able to segment blood vessels with varying vessel diameters in high-resolution colour fundus images. All recent authors compare their vessel segmentation results to each other using only low-resolution retinalimage databases. Consequently, we provide a new publicly available high-resolution fundus image database of healthy and pathological retinas. Our performance evaluation shows that the proposed blood vessel segmentation approach is at lea

Název v anglickém jazyce

Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

Popis výsledku anglicky

Automatic assessment of retinal vessels plays an important role in the diagnosis of various eye, as well as systemic diseases. A public screening is highly desirable for prompt and effective treatment, since such diseases need to be diagnosed at an earlystage. Automated and accurate segmentation of the retinal blood vessel tree is one of the challenging tasks in the computer-aided analysis of fundus images today. We improve the concept of matched filtering, and propose a novel and accurate method for segmenting retinal vessels. Our goal is to be able to segment blood vessels with varying vessel diameters in high-resolution colour fundus images. All recent authors compare their vessel segmentation results to each other using only low-resolution retinalimage databases. Consequently, we provide a new publicly available high-resolution fundus image database of healthy and pathological retinas. Our performance evaluation shows that the proposed blood vessel segmentation approach is at lea

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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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

2013

Kód důvěrnosti údajů

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

Název periodika

IET Image processing

ISSN

1751-9659

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

373-383

Kód UT WoS článku

000321751400010

EID výsledku v databázi Scopus

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