An Efficient Imaging Technique for Automated Macula Localization from Fundus Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120806" target="_blank" >RIV/00216305:26220/16:PU120806 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7765390" target="_blank" >https://ieeexplore.ieee.org/document/7765390</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICUMT.2016.7765390" target="_blank" >10.1109/ICUMT.2016.7765390</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Efficient Imaging Technique for Automated Macula Localization from Fundus Images

Popis výsledku v původním jazyce

Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.

Název v anglickém jazyce

An Efficient Imaging Technique for Automated Macula Localization from Fundus Images

Popis výsledku anglicky

Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

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)<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

8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT

ISBN

978-1-4673-8817-7

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

387-391

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Lisabon

Datum konání akce

18. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000392263300068