Detail publikace

Automatic Extraction of Blood Vessels and Veins using adaptive Filters in Fundus Image

MINAR, J. PINKAVA, M. RIHA, K. DUTTA, M. SINGH, A. TONG, H.

Originální název

Automatic Extraction of Blood Vessels and Veins using adaptive Filters in Fundus Image

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper proposes a novel method for extraction of blood vessels and veins from medical image of human eye – retinal fundus images that can be used in ophthalmology for detecting various eyes’ diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of preprocessing of image by using adaptive histogram equalization by CLAHE algorithm of green channel of fundus retinal image. Subsequently, using adaptive filters and image convolution with filter mask as key point of proposed algorithm and subsequently is applied the operation erosion processed 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

fundus, retinal, image processing, adaptive filter

Autoři

MINAR, J.; PINKAVA, M.; RIHA, K.; DUTTA, M.; SINGH, A.; TONG, H.

Vydáno

27. 6. 2016

ISBN

978-1-5090-1287-9

Kniha

39th International Conference on Telecommunications and Signal Processing (TSP)

ISSN

1805-5435

Periodikum

International Conference on Telecommunications and Signal Processing (TSP)

Stát

Česká republika

Strany od

546

Strany do

549

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7760940

BibTex

@inproceedings{BUT110778,
  author="Jiří {Minář} and Marek {Pinkava} and Kamil {Říha} and Malay Kishore {Dutta} and Anushikha {Singh} and Hejun {Tong}",
  title="Automatic Extraction of Blood Vessels and Veins using adaptive Filters in Fundus Image",
  booktitle="39th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2016",
  journal="International Conference on Telecommunications and Signal Processing (TSP)",
  pages="546--549",
  doi="10.1109/TSP.2016.7760940",
  isbn="978-1-5090-1287-9",
  issn="1805-5435",
  url="https://ieeexplore.ieee.org/document/7760940"
}