Publication detail

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

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

Original Title

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

English Title

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

Type

conference paper

Language

Czech

Original Abstract

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.

Keywords

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

Key words in English

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

Authors

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

RIV year

2015

Released

8. 10. 2015

ISBN

978-1-4673-7909-0

Book

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

Pages from

23

Pages to

26

Pages count

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"
}