首页|Automated Detection of Optic Disc from Digital Retinal Fundus Images for Screening Systems of Diabetic Retinopathy

Automated Detection of Optic Disc from Digital Retinal Fundus Images for Screening Systems of Diabetic Retinopathy

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 维普
  • 万方数据
Optic disc (OD) detection is a main step while developing automated screening systems for diabetic retinopathy.We present a method to automatically locate and extract the OD in digital retinal fundus images.Based on the property that main blood vessels gather in OD,the method starts with Otsu thresholding segmentation to obtain candidate regions of OD.Consequently,the main blood vessels which are segmented in H channel of color fundus images in Hue saturation value (HSV) space.Finally,a weighted vessels' direction matched filter is proposed to roughly match the direction of the main blood vessels to get the OD center which is used to pick the true OD out from the candidate regions of OD.The proposed method was evaluated on a dataset containing 100 fundus images of both normal and diseased retinas and the accuracy reaches 98％.Furthermore,the average time cost in processing an image is 1.3 s.Results suggest that the approach is reliable,and can efficiently detect OD from fundus images.

fundus imagespectral characteristics analysisoptic disc (OD)blood vesselsOtsu thresholdingmatch filtersegmentation

GAO Weiwei、MA Xiaofeng、ZUO Jing

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College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Department of Ophthalmology, Jiangsu Province Hospital of TCM, Nanjing 210029, China

National High Technology Research and Development Program of China (863 Program)Fundamental Research Funds for the Central Universities,ChinaJiangsu Province Science and Technology Support Plan,ChinaProgram Sponsored for Scientific Innovation Research of College Graduate in Jangsu Province,ChinaShanghai University Scientific Selection and Cultivation for Outstanding Young Teachers in Special Fund,China

no 2006AA020804no NJ20120007no BE2010652no CXLX11_0218no ZZGCD15081

2020

东华大学学报(英文版)
东华大学

东华大学学报(英文版)

影响因子：0.091
ISSN：1672-5220
年,卷(期)：2020.37(1)
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