Detail publikace

Automatická segmentace optického disku v multimodálních obrazech

Jiri Jan, Radim Chrastek, Libor Kubecka,Victor Derhartunian, Heinrich Niemann, Georg Michelson

Originální název

Automated Optic Disc Segmentation in Multimodal Images of Retina

Český název

Automatická segmentace optického disku v multimodálních obrazech

Anglický název

Automated Optic Disc Segmentation in Multimodal Images of Retina

Typ

článek ve sborníku

Jazyk

en

Originální abstrakt

Automatic segmentation of the optic disc margin CSLO- and colour fundus-images are registered using a fully-automatic multi-modal global registration method. It is performed by finding optimal parameters of the affine geometric transformation according to the modified mutual information similarity criterion. The segmentation of the optic disk in the color fundus photographs (CFP) is based on nonlinear filtering, the Canny edge detector and a modified Hough transform. The result of the segmentation of CFP (the initial circle contour) is transferred into the preprocessed CSLO image. By the anchored active contours (AAC) method the curve forming the sought optic nerve head (ONH) border is found. The method for automatic segmentation of the optic disc based on registration of images from the scanning laser tomograph and fundus photographs yields a 94% success-rate in respect to correct overlay. In 89% of the images the optic disc was correctly segmented.

Český abstrakt

Automatická segmentace optického disku na retinálních obrazech. CSLO- and colour fundus-images are registered using a fully-automatic multi-modal global registration method. It is performed by finding optimal parameters of the affine geometric transformation according to the modified mutual information similarity criterion. The segmentation of the optic disk in the color fundus photographs (CFP) is based on nonlinear filtering, the Canny edge detector and a modified Hough transform. The result of the segmentation of CFP (the initial circle contour) is transferred into the preprocessed CSLO image. By the anchored active contours (AAC) method the curve forming the sought optic nerve head (ONH) border is found. The method for automatic segmentation of the optic disc based on registration of images from the scanning laser tomograph and fundus photographs yields a 94% success-rate in respect to correct overlay. In 89% of the images the optic disc was correctly segmented.

Anglický abstrakt

Automatic segmentation of the optic disc margin CSLO- and colour fundus-images are registered using a fully-automatic multi-modal global registration method. It is performed by finding optimal parameters of the affine geometric transformation according to the modified mutual information similarity criterion. The segmentation of the optic disk in the color fundus photographs (CFP) is based on nonlinear filtering, the Canny edge detector and a modified Hough transform. The result of the segmentation of CFP (the initial circle contour) is transferred into the preprocessed CSLO image. By the anchored active contours (AAC) method the curve forming the sought optic nerve head (ONH) border is found. The method for automatic segmentation of the optic disc based on registration of images from the scanning laser tomograph and fundus photographs yields a 94% success-rate in respect to correct overlay. In 89% of the images the optic disc was correctly segmented.

Klíčová slova

sítnice, optický disk, automatická segmentace, lícování obrazů

Rok RIV

2005

Vydáno

25.09.2005

Nakladatel

DOG/SOE

Místo

Berlin

Strany od

1000

Strany do

1000

Strany počet

1

URL

knihovna UBMI - ( kompletní přednáška)

BibTex


@inproceedings{BUT14720,
  author="Jiří {Jan} and Libor {Kubečka} and Radim {Chrástek}",
  title="Automated Optic Disc Segmentation in Multimodal Images of Retina",
  annote="Automatic segmentation of the optic disc margin
CSLO- and colour fundus-images are registered using a fully-automatic multi-modal global registration method. It is performed by finding optimal parameters of the affine geometric transformation according to the modified mutual information similarity criterion. The segmentation of the optic disk in the color fundus photographs (CFP) is based on nonlinear filtering, the Canny edge detector and a modified Hough transform. The result of the segmentation of CFP (the initial circle contour) is transferred into the preprocessed CSLO image. By the anchored active contours (AAC) method the curve forming the sought optic nerve head (ONH) border is found. The method for automatic segmentation of the optic disc based on registration of images from the scanning laser tomograph and fundus photographs yields a 94% success-rate in respect to correct overlay. In 89% of the images the optic disc was correctly segmented.",
  address="DOG/SOE",
  booktitle="CD Proceedings of the DOG/SOE congress",
  chapter="14720",
  edition="Basic Sciences and Clinical Application",
  institution="DOG/SOE",
  year="2005",
  month="september",
  pages="1000",
  publisher="DOG/SOE",
  type="conference paper"
}