Detail publikace

Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

MINÁŘ, J. PINKAVA, M. ŘÍHA, K. DUTTA, M.

Originální název

Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

Anglický název

Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

čeština

Originální abstrakt

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.

Klíčová slova

image processing; fundus; Laplace; automatic; blood vessels, veins

Klíčová slova v angličtině

image processing; fundus; Laplace; automatic; blood vessels, veins

Autoři

MINÁŘ, J.; PINKAVA, M.; ŘÍHA, K.; DUTTA, M.

Rok RIV

2015

Vydáno

8. 10. 2015

ISBN

978-1-4673-7909-0

Kniha

ICGCIoT - International CConference of Green Computing and Internet of Things 2015

Strany od

23

Strany do

26

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7380421

BibTex

@inproceedings{BUT114562,
  author="Jiří {Minář} and Marek {Pinkava} and Kamil {Říha} and Malay Kishore {Dutta}",
  title="Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image",
  booktitle="ICGCIoT - International CConference of Green Computing and Internet of Things 2015",
  year="2015",
  pages="23--26",
  doi="10.1109/ICGCIoT.2015.7380421",
  isbn="978-1-4673-7909-0",
  url="https://ieeexplore.ieee.org/document/7380421"
}