Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease

被引：17

作者：

Datta, Niladri Sekhar ^{[1
]}

Dutta, Himadri Sekhar ^{[2
]}

Majumder, Koushik ^{[3
]}

机构：

[1] Future Inst Engn & Management, Dept Informat Technol, Kolkata 700150, W Bengal, India

[2] Kalyani Govt Engn Coll, Dept Elect & Commun Engn, Kalyani 741235, W Bengal, India

[3] West Bengal Univ Technol, Dept Comp Sci & Engn, BF 142,Sect 1, Kolkata 700064, W Bengal, India

来源：

JOURNAL OF MEDICAL IMAGING | 2016年 / 3卷 / 01期

关键词：

medical image analysis; diabetic retinopathy; retinal image; microaneurysms; exudates; optic disk; retinal blood vessels;

D O I：

10.1117/1.JMI.3.1.014502

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 [临床医学]; 100207 [影像医学与核医学]; 1009 [特种医学];

摘要：

The contrast enhancement of retinal image plays a vital role for the detection of microaneurysms (MAs), which are an early sign of diabetic retinopathy disease. A retinal image contrast enhancement method has been presented to improve the MA detection technique. The success rate on low-contrast noisy retinal image analysis shows the importance of the proposed method. Overall, 587 retinal input images are tested for performance analysis. The average sensitivity and specificity are obtained as 95.94% and 99.21%, respectively. The area under curve is found as 0.932 for the receiver operating characteristics analysis. The classifications of diabetic retinopathy disease are also performed here. The experimental results show that the overall MA detection method performs better than the current state-of-the-art MA detection algorithms. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

引用

页数：12

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