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Retinal vessel segmentation using color image morphology and local binary patterns

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3 Author(s)
Seyed Mohsen Zabihi ; Computer Engineering Department, Ferdowsi University of Mashhad, Iran ; Morteza Delgir ; Hamid Reza Pourreza

In this paper, an automated retinal vessel extraction algorithm is represented. A multi-scale morphological algorithm is used for local contrast enhancement of color retinal image. This method enhances vessels not only in color image, but also in the three color components of that image. After feature extraction using LBP and spatial image processing, MLP as a classifier segments the pixels into vessels and non-vessels. Finally, in post processing step, we used binary morphologies for noise removing and smoothing. The performance of the proposed algorithm is tested on the images of DRIVE database.

Published in:

2010 6th Iranian Conference on Machine Vision and Image Processing

Date of Conference:

27-28 Oct. 2010