Segmentation of fundus eye images using methods of mathematical morphology for glaucoma diagnosis

被引：0

作者：

Stapor, K

Switonski, A

Chrastek, R

Michelson, G

机构：

[1] Silesian Tech Univ, Inst Comp Sci, PL-44100 Gliwice, Poland

[2] Univ Erlangen Nurnberg, Chair Pattern Recognit, D-91058 Erlangen, Germany

[3] Univ Erlangen Nurnberg, Dept Ophthalmol, D-91054 Erlangen, Germany

来源：

COMPUTATIONAL SCIENCE - ICCS 2004, PROCEEDINGS | 2004年 / 3039卷

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper the new method for automatic segmentation of cup and optic disc in fundus eye images taken from classical fundus camera is proposed. The proposed method is fully based on techniques from mathematical morphology. Detection of cup region makes use of watershed transformation with markers imposed, while optic disk is extracted based on geodesic reconstruction by dilation. The obtained results are encouraging.

引用

页码：41 / 48

页数：8

共 12 条

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