Automatic localization and boundary detection of retina in images using basic image processing filters

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085015" target="_blank" >RIV/61989100:27240/11:86085015 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-31603-6_15" target="_blank" >http://dx.doi.org/10.1007/978-3-642-31603-6_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-31603-6_15" target="_blank" >10.1007/978-3-642-31603-6_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic localization and boundary detection of retina in images using basic image processing filters

Popis výsledku v původním jazyce

This paper proposes an automatic localization and boundary detection of retina images using basic filters to support ophthalmologists for detection and diagnoses eyes harmful diseases such as glaucoma and diabetic retinopathy accurately and diligently. The proposed system comprising three main phases including preprocessing, segmentation and detection phase. The preprocessing phase is used to enhance retinal image and to remove the noise of the retina image. The second phase is the segmentation for mainparts of retinal image including optic disc, blood vessels, and fovea to extract their features. Optic disc is segmented using color intensity, the region of interest (ROI) is detected and morphological operations are applied to reduce search complexity. Also, fovea feature is extracted and the blood vessels tree is extracted from retinal image using line detection techniques. The third phase is the detection, in which identification and classifying whether the input image is left or ri

Název v anglickém jazyce

Automatic localization and boundary detection of retina in images using basic image processing filters

Popis výsledku anglicky

This paper proposes an automatic localization and boundary detection of retina images using basic filters to support ophthalmologists for detection and diagnoses eyes harmful diseases such as glaucoma and diabetic retinopathy accurately and diligently. The proposed system comprising three main phases including preprocessing, segmentation and detection phase. The preprocessing phase is used to enhance retinal image and to remove the noise of the retina image. The second phase is the segmentation for mainparts of retinal image including optic disc, blood vessels, and fovea to extract their features. Optic disc is segmented using color intensity, the region of interest (ROI) is detected and morphological operations are applied to reduce search complexity. Also, fovea feature is extracted and the blood vessels tree is extracted from retinal image using line detection techniques. The third phase is the detection, in which identification and classifying whether the input image is left or ri

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 179

ISBN

978-3-642-31602-9

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

14

Strana od-do

169-182

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Praha

Datum konání akce

29. 8. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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