An Effective Algorithm for Automatic Measurement of Vessel Calibre in Retinal Fundus Images

被引：0

作者：

Kaur, Jasmeen ^{[1
]}

Kaur, Navkiran ^{[1
]}

Acharyya, Mausumi ^{[2
]}

Kapoor, Nishant ^{[2
]}

Chatterjee, Somsirsa ^{[2
]}

Gupta, Sheifali ^{[3
]}

机构：

[1] Chitkara Univ, Sch Elect & Elect Engn, Chandigarh, India

[2] TecnoSys, Advenio, Chandigarh, India

[3] Chitkara Univ, Res & Innovat Network, Chandigarh, India

来源：

2016 5TH INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND EMBEDDED SYSTEMS (WECON) | 2016年

关键词：

vessel segmentation; retinal blood vessel; bifurcation points; crossover points; vessel calibre; vessel width; ophthalmology;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Different pathologies like diabetic retinopathy, hypertension, arteriosclerosis, age related macular degeneration, occlusion, neovascularization etc. leads to various changes in retinal vasculature. Hence, analysis of retinal vasculature helps in diagnose and screening of eye fundus. This paper presents an effective algorithm for automatic measurement of vessel calibre of retinal blood vessels from the colored fundus images. Retinal blood vessels are extracted using multi-scale line tracking technique. Vessel Calibre is measured for the extracted vessels in pixels. The proposed algorithm is validated on online available REVIEW dataset. Our results are very similar to the results given by observers which show high accuracy of our algorithm.

引用

页码：137 / 141

页数：5

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