融合特征相互关系的视网膜微动脉瘤提取

赖小波; 刘华山; 方纯洁

doi:10.3788/OPE.20132108.2187

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融合特征相互关系的视网膜微动脉瘤提取

信息科学 | 更新时间：2020-08-12

- 融合特征相互关系的视网膜微动脉瘤提取
- Retinal microaneurysms extraction by fusing relationship among features
- 光学精密工程 2013年21卷第8期页码：2187-2194
- 作者机构：
  
  1. 浙江中医药大学信息技术学院,浙江杭州,310053
  2. 东华大学信息科学与技术学院上海,201620
- 作者简介：
- 基金信息：
  
  浙江省自然科学基金资助项目(LY15E050010)
- DOI：10.3788/OPE.20132108.2187
  中图分类号： R774.1;TP391.41
- 收稿日期：2013-01-17，
  
  修回日期：2013-03-26，
  
  网络出版日期：2013-08-20，
  
  纸质出版日期：2013-08-15
- 稿件说明：
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赖小波刘华山方纯洁. 融合特征相互关系的视网膜微动脉瘤提取[J]. 光学精密工程, 2013,21(8): 2187-2194

LAI Xiao-bo LIU Hua-shan FANG Chun-jie. Retinal microaneurysms extraction by fusing relationship among features[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2187-2194
赖小波刘华山方纯洁. 融合特征相互关系的视网膜微动脉瘤提取[J]. 光学精密工程, 2013,21(8): 2187-2194 DOI： 10.3788/OPE.20132108.2187.

LAI Xiao-bo LIU Hua-shan FANG Chun-jie. Retinal microaneurysms extraction by fusing relationship among features[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2187-2194 DOI： 10.3788/OPE.20132108.2187.

摘要

为了抑制视网膜不同结构特征之间的影响，提高视网膜微动脉瘤的检测精度，提出了一种基于特征相互关系的视网膜微动脉瘤提取算法。首先，对视网膜灰度图像进行均值滤波，检测圆形边界和视盘，并构建视盘掩模。然后，对视网膜绿色分量图像自适应直方图均衡化，利用Canny方法提取边缘，移除图像圆形边界并填充封闭的小面积对象。最后，考虑不同特征之间的相互关系，消除较大面积对象后进行"逻辑与"运算移除视网膜渗出物、血管和视盘，得到视网膜微动脉瘤图像。实验结果表明：该算法能够有效提取视网膜眼底图像中的微动脉瘤，其敏感度、特异性、阳性预测值和检测精度分别达到了94.81%、96.04%、91.64 %和95.66%，基本能够满足临床应用对稳定性和精度的要求。

Abstract

To suppress the mutual affects among different structure features of retinal and improve the detection precision of retinal microaneurysms

a microaneurysm extraction algorithm by fusing relationship among features was proposed. Firstly

the mean filter was applied to a retinal grayscale image

both the circular border and optic disc were detected

and the optic disc mask was created. Then

the green component of the retinal image was equalized with an adaptive histogram and Canny method was used to extract the edges before removing the image circular border and to fill the enclosed small area objects. Finally

with consideration of the relationship among different features

larger area objects were removed and an AND logic was used to remove the retinal exudates

blood vessels as well as optic disc to obtain the retinal microaneurysm image. Experimental results indicate that the proposed method can effectively extract the microaneurysms in the retinal fundus image

and their sensitivity

specificity

positive predictive value and accuracy are 94.81%

96.04%

91.64 % and 95.66%

respectively. It can satisfy the clinical application requirements for strong stabilization and higher precision.

关键词

Keywords

references

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