Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques
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 segmenta...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2015/895267 |
id |
doaj-0e5bc2114870454fa75d6e898b87ad1e |
---|---|
record_format |
Article |
spelling |
doaj-0e5bc2114870454fa75d6e898b87ad1e2020-11-25T00:14:45ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182015-01-01201510.1155/2015/895267895267Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding TechniquesTemitope Mapayi0Serestina Viriri1Jules-Raymond Tapamo2School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South AfricaSchool of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South AfricaSchool of Engineering, University of KwaZulu-Natal, Durban 4000, South AfricaDue 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.http://dx.doi.org/10.1155/2015/895267 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Temitope Mapayi Serestina Viriri Jules-Raymond Tapamo |
spellingShingle |
Temitope Mapayi Serestina Viriri Jules-Raymond Tapamo Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques Computational and Mathematical Methods in Medicine |
author_facet |
Temitope Mapayi Serestina Viriri Jules-Raymond Tapamo |
author_sort |
Temitope Mapayi |
title |
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques |
title_short |
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques |
title_full |
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques |
title_fullStr |
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques |
title_full_unstemmed |
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques |
title_sort |
comparative study of retinal vessel segmentation based on global thresholding techniques |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2015-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2015/895267 |
work_keys_str_mv |
AT temitopemapayi comparativestudyofretinalvesselsegmentationbasedonglobalthresholdingtechniques AT serestinaviriri comparativestudyofretinalvesselsegmentationbasedonglobalthresholdingtechniques AT julesraymondtapamo comparativestudyofretinalvesselsegmentationbasedonglobalthresholdingtechniques |
_version_ |
1725388689108893696 |