Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques
Joint Authors
Mapayi, Temitope
Viriri, Serestina
Tapamo, Jules-Raymond
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mapayi, Temitope& Viriri, Serestina& Tapamo, Jules-Raymond. 2015. Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1058028
Modern Language Association (MLA)
Mapayi, Temitope…[et al.]. Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1058028
American Medical Association (AMA)
Mapayi, Temitope& Viriri, Serestina& Tapamo, Jules-Raymond. Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1058028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058028