Robust Retinal Blood Vessel Segmentation Based on Reinforcement Local Descriptions
Joint Authors
Li, Meng
Ma, Zhenshen
Liu, Chao
Zhang, Guang
Han, Zhe
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Retinal blood vessels segmentation plays an important role for retinal image analysis.
In this paper, we propose robust retinal blood vessel segmentation method based on reinforcement local descriptions.
A novel line set based feature is firstly developed to capture local shape information of vessels by employing the length prior of vessels, which is robust to intensity variety.
After that, local intensity feature is calculated for each pixel, and then morphological gradient feature is extracted for enhancing the local edge of smaller vessel.
At last, line set based feature, local intensity feature, and morphological gradient feature are combined to obtain the reinforcement local descriptions.
Compared with existing local descriptions, proposed reinforcement local description contains more local information of local shape, intensity, and edge of vessels, which is more robust.
After feature extraction, SVM is trained for blood vessel segmentation.
In addition, we also develop a postprocessing method based on morphological reconstruction to connect some discontinuous vessels and further obtain more accurate segmentation result.
Experimental results on two public databases (DRIVE and STARE) demonstrate that proposed reinforcement local descriptions outperform the state-of-the-art method.
American Psychological Association (APA)
Li, Meng& Ma, Zhenshen& Liu, Chao& Zhang, Guang& Han, Zhe. 2017. Robust Retinal Blood Vessel Segmentation Based on Reinforcement Local Descriptions. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134442
Modern Language Association (MLA)
Li, Meng…[et al.]. Robust Retinal Blood Vessel Segmentation Based on Reinforcement Local Descriptions. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1134442
American Medical Association (AMA)
Li, Meng& Ma, Zhenshen& Liu, Chao& Zhang, Guang& Han, Zhe. Robust Retinal Blood Vessel Segmentation Based on Reinforcement Local Descriptions. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134442
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134442