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Comparative study of retinal vessel segmentation based on global thresholding techniques.

Mapayi T, Viriri S, Tapamo JR - Comput Math Methods Med (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South Africa.

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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Algorithm for phase congruence global-based thresholding technique.
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Related In: Results  -  Collection


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alg3: Algorithm for phase congruence global-based thresholding technique.

Mentions: Retinal fundus images are often characterized by noise due to illumination and contrast variation. Due to this, the use of global thresholding techniques for the detection of vessels in these noisy retinal images becomes challenging. In order to solve this problem, the need for an efficient preprocessing technique is highly desirable. This section describes the two different preprocessing techniques and the different filtering techniques which are used to enhance the vessels. The different thresholding techniques and postprocessing techniques used in this paper are also described in this section. For the purpose of simplification, we group these techniques into two major approaches, namely, CLAHE global-based thresholding approach and phase congruence global-based thresholding approach as described in Algorithms 1 and 3.


Comparative study of retinal vessel segmentation based on global thresholding techniques.

Mapayi T, Viriri S, Tapamo JR - Comput Math Methods Med (2015)

Algorithm for phase congruence global-based thresholding technique.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4352460&req=5

alg3: Algorithm for phase congruence global-based thresholding technique.
Mentions: Retinal fundus images are often characterized by noise due to illumination and contrast variation. Due to this, the use of global thresholding techniques for the detection of vessels in these noisy retinal images becomes challenging. In order to solve this problem, the need for an efficient preprocessing technique is highly desirable. This section describes the two different preprocessing techniques and the different filtering techniques which are used to enhance the vessels. The different thresholding techniques and postprocessing techniques used in this paper are also described in this section. For the purpose of simplification, we group these techniques into two major approaches, namely, CLAHE global-based thresholding approach and phase congruence global-based thresholding approach as described in Algorithms 1 and 3.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Durban 4000, South Africa.

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.

Show MeSH