A retinal image sharpness metric based on histogram of edge width

被引：3
|
作者：
Lin J.-W. [1 ,2 ]
Weng Q. [2 ]
Xue L.-Y. [1 ]
Cao X.-R. [1 ]
Yu L. [1 ]
机构：
[1] College of Physics and Information Engineering, Fuzhou University, Fuzhou
[2] College of Mathematics and Computer Science, Fuzhou University, Fuzhou
来源：
Lin, Jia-Wen (ljw@fzu.edu.cn) | 1600年 / SAGE Publications Inc.卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Diabetic retinopathy screening; Fundus image sharpness; Histogram; Weighted edge width;
D O I：
10.1177/1748301817713184
中图分类号：
学科分类号：
摘要：
Retinal image sharpness assessment is one of the critical requirements of automatic quality evaluation in telemedicine screening for diabetic retinopathy. In this paper, a new sharpness metric measuring the spread of edges is presented to quantify fundus image clarity. After edge detection on the region of interest of retinal image, the width of each edge is calculated and the histogram of region of interest generated. Based on the histogram, a distance-based factor is introduced to gain the weighted edge width, which is defined as the sharpness metric for the fundus image. The method was tested on Messidor dataset and a proprietary dataset. The results show that the proposed metric performs well over different image distortion levels and resolutions and is of low computational complexity. The weighted edge width value of gradable retinal image, which is irrelevant to resolution, is always within the range of 3–7 pixels. © The Author(s) 2017.
引用
收藏
页码：292 / 300
页数：8
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