Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images

被引：51

作者：

Kande, Giri Babu ^{[1
]}

Savithri, T. Satya ^{[2
]}

Subbaiah, P. Venkata ^{[3
]}

机构：

[1] Vasireddy Venkatadri Inst Technol, Guntur 522508, Andhra Pradesh, India

[2] Jawaharlal Nehru Technol Univ, Dept Elect & Commun Engn, Hyderabad, Andhra Pradesh, India

[3] Amrita Sai Inst Sci & Technol, Paritala, Andhra Pradesh, India

来源：

JOURNAL OF DIGITAL IMAGING | 2010年 / 23卷 / 04期

关键词：

Fundus; matched filter; microaneurysms; morphology; hemorrhages; retina;

D O I：

10.1007/s10278-009-9246-0

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

An efficient approach for automatic detection of red lesions in ocular fundus images based on pixel classification and mathematical morphology is proposed. Experimental evaluation of the proposed approach demonstrates better performance over other red lesion detection algorithms, and when determining whether an image contains red lesions the proposed approach achieves a sensitivity of 100% and specificity of 91%.

引用

页码：430 / 437

页数：8

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