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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 895267, 15 pages
Research Article

Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques

1School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South Africa
2School of Engineering, University of KwaZulu-Natal, Durban 4000, South Africa

Received 8 September 2014; Accepted 13 November 2014

Academic Editor: Chuangyin Dang

Copyright © 2015 Temitope Mapayi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Due to noise from uneven contrast and illumination during acquisition process of retinal fundus images, the use of efficient preprocessing techniques is highly desirable to produce good retinal vessel segmentation results. This paper develops and compares the performance of different vessel segmentation techniques based on global thresholding using phase congruency and contrast limited adaptive histogram equalization (CLAHE) for the preprocessing of the retinal images. The results obtained show that the combination of preprocessing technique, global thresholding, and postprocessing techniques must be carefully chosen to achieve a good segmentation performance.