Detail publikace

Automatic detection of the macula in retinal fundus images using multilevel thresholding

MINÁŘ, J. ŘÍHA, K. KŘUPKA, A. TONG, H.

Originální název

Automatic detection of the macula in retinal fundus images using multilevel thresholding

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

The paper proposes a novel method for detection of macula in medical image of human eye – retinal fundus images that can be used in ophthalmology for detecting various eye's diseases such glaucoma, diabetic retinopathy or macula oedema. The method utilizes an approach of multilevel thresholding of red channel of fundus retinal image. Subsequently, the thresholded layers are preprocessed by application of median blur filter. Algorithm for ellipse detection from OpenCV library is used on all thresholding level. Then proposed technique analyzes detection and valuates position of macula in fundus image. The precision of the method is evaluated on dataset from public fundus image library DRIVE. The results were 90% (36 of 40). False detections ware only in images where macula was not visible.

Klíčová slova

Automatic, Fundus, Macula, Medical Image processing, Multilevel Segmentation, Thresholding

Autoři

MINÁŘ, J.; ŘÍHA, K.; KŘUPKA, A.; TONG, H.

Rok RIV

2014

Vydáno

25. 4. 2014

ISSN

1805-5443

Periodikum

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems

Ročník

2014

Číslo

1

Stát

Česká republika

Strany od

13

Strany do

16

Strany počet

4

BibTex

@article{BUT107256,
  author="Jiří {Minář} and Kamil {Říha} and Aleš {Křupka} and Hejun {Tong}",
  title="Automatic detection of the macula in retinal fundus images using multilevel thresholding",
  journal="International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems",
  year="2014",
  volume="2014",
  number="1",
  pages="13--16",
  issn="1805-5443"
}