Publication: Vessel extraction in retinal images using multilevel line detection
0
0
Issued Date
2012
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-84864218860
Rights Holder(s)
Scopus
Bibliographic Citation
Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012. Vol , No. (2012), p.345-349
Suggested Citation
Rattathanapad S., Mittrapiyanuruk P., Kaewtrakulpong P., Uyyanonvara B., Sinthanayothin C. Vessel extraction in retinal images using multilevel line detection. Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012. Vol , No. (2012), p.345-349. doi:10.1109/BHI.2012.6211584 Retrieved from: https://hdl.handle.net/20.500.14740/6999
Abstract
This paper presents an algorithm to segment the blood vessels in retinal images. The contribution of this work is that we exhibit how a line detection can be applied in a multi-scale framework to fulfill the sophisticated task of vessel segmentation. The key idea of our algorithm is to systematically combine the outputs of Gaussian based line detection that is applied sequentially to the input image at several scales from coarse to fine levels. This brings down to the strategy that the evidences of larger size vessels are used to steer the process of addition of smaller vessels. Our proposed method is evaluated on the public DRIVE database and shows results with false positive rate. © 2012 IEEE.