Comparative study of retinal vessel segmentation based on global thresholding techniques

Computational and Mathematical Methods in Medicine
Temitope MapayiJules-Raymond Tapamo

Abstract

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.

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Citations

May 16, 2020·Current Medical Imaging·Muhammad Nadeem AshrafZulfiqar Habib
Mar 13, 2017·Journal of Medical Systems·Chetan L SrinidhiJeny Rajan

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Software Mentioned

Matlab
ISODATA
CLAHE
SOM

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