Publication detail

Texture Based Discrimination of Normal and Glaucomatous Retina

KOLÁŘ, R. JAN, J. URBÁNEK, D.

Original Title

Texture Based Discrimination of Normal and Glaucomatous Retina

Czech Title

Texture Based Discrimination of Normal and Glaucomatous Retina

English Title

Texture Based Discrimination of Normal and Glaucomatous Retina

Type

journal article

Language

cs

Original Abstract

This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated on image database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.

Czech abstract

This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated on image database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.

English abstract

This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated on image database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.

Keywords

texture analysis, image segmentation, retinal nerve fibres, glaucoma

RIV year

2008

Released

29.06.2008

Publisher

VUTIUM Press

Location

Brno

Pages from

1

Pages to

5

Pages count

5

BibTex


@article{BUT49276,
  author="Radim {Kolář} and Jiří {Jan} and Dušan {Urbánek}",
  title="Texture Based Discrimination of Normal and Glaucomatous Retina",
  annote="This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated on image database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.",
  address="VUTIUM Press",
  chapter="49276",
  institution="VUTIUM Press",
  journal="Analysis of Biomedical Signals and Images",
  number="1",
  volume="19",
  year="2008",
  month="june",
  pages="1--5",
  publisher="VUTIUM Press",
  type="journal article"
}