Retinal vessel segmentation using color image morphology and local binary patterns

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 featu...

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Bibliographic Details
Published in2010 6th Iranian Conference on Machine Vision and Image Processing pp. 1 - 5
Main Authors Zabihi, S. M., Delgir, M., Pourreza, H. R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Biomedical imaging
Blood vessels
Feature extraction
Image color analysis
Image segmentation
LBP
MLP
multi-scale morphology
Pixel
Retina
Segmentation
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Summary: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.
ISBN:142449706X
9781424497065
ISSN:2166-6776
DOI:10.1109/IranianMVIP.2010.5941129