Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
čeština
Original language name
Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image
Original language description
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.
Czech name
Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image
Czech description
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.
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICGCIoT - International CConference of Green Computing and Internet of Things 2015
ISBN
978-1-4673-7909-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
23-26
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Greater Noida, India
Event date
Oct 8, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380517100005