Extraction of Blood Vessels in Retina

This article presents a novel method to extract retinal vascular tree automatically. The proposed method consists of four steps; smoothing image using low pass spatial filter to reduce spurious noise in the image; extracting candidate borders of the vessels based on a local window property; tracking...

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Bibliographic Details
Published inJournal of information technology research Vol. 11; no. 4; pp. 122 - 136
Main Authors Thamer Mitib Al Sariera, Rangarajan, Lalitha
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.10.2018
Subjects
Algorithms
Blood vessels
Diabetes
Information technology
Low pass filters
Noise control
Retina
Spatial filtering
Wavelet transforms
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Summary:This article presents a novel method to extract retinal vascular tree automatically. The proposed method consists of four steps; smoothing image using low pass spatial filter to reduce spurious noise in the image; extracting candidate borders of the vessels based on a local window property; tracking process, starting with a candidate pixel and following in the optimum direction with monitoring the connectivity of the vessel twin border; constructing the whole tree of retinal blood vessels by connecting the vessel segments based on their spatial locations, widths and directions. The algorithm was trained with 20 images from the DRIVE dataset, and tested using the remaining 20 images.
ISSN:1938-7857
1938-7865
DOI:10.4018/JITR.2018100108