title: Comparative study of retinal vessel segmentation based on global thresholding techniques.
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.
authors: School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South Africa.
authors: Temitope
authors: T
authors: Mapayi
authors: School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South Africa.
authors: Serestina
authors: S
authors: Viriri
authors: School of Engineering, University of KwaZulu-Natal, Durban 4000, South Africa.
authors: Jules-Raymond
authors: JR
authors: Tapamo
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D003952:Diagnostic Imaging / Q000379:methods*; D005189:False Positive Reactions; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008490:Medical Informatics; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology; D012171:Retinal Vessels / Q000473:pathology*; D012680:Sensitivity and Specificity; D012984:Software