An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE

Retinal damage caused due to complications of diabetes is known as a Diabetic Retinopathy (DR). In this case, the vision is obscured due to damage of tiny retinal blood vessels. These tiny blood vessels may cause leakage that affect the vision and can lead to complete blindness. Identification of th...

Full description

Bibliographic Details
Main Authors:	Khan, Khan Bahadarkhan, Abdul Khaliq, Amir, Print \| Email Scopus - Author details - Shahid, Muhammad Usman, Khan, Sheroz
Format:	Article
Language:	English English English
Published:	International Islamic University Malaysia-IIUM 2016
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/58831/ http://irep.iium.edu.my/58831/ http://irep.iium.edu.my/58831/1/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_article.pdf http://irep.iium.edu.my/58831/2/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_scopus.pdf http://irep.iium.edu.my/58831/13/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_wos.pdf

id	iium-58831
recordtype	eprints
spelling	iium-588312018-01-12T01:44:22Z http://irep.iium.edu.my/58831/ An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE Khan, Khan Bahadarkhan Abdul Khaliq, Amir Print \| Email Scopus - Author details - Shahid, Muhammad Usman Khan, Sheroz TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Retinal damage caused due to complications of diabetes is known as a Diabetic Retinopathy (DR). In this case, the vision is obscured due to damage of tiny retinal blood vessels. These tiny blood vessels may cause leakage that affect the vision and can lead to complete blindness. Identification of these new retinal vessels and their structure is an essential for analysis of DR. Automatic blood vessel segmentation plays a significant role to assist subsequent automatic methodologies that aid to such analysis. In literature, most authors have used computationally-hungry strong preprocessing steps followed by a simple thresholding and postprocessing steps. This paper proposed an arrangement of simple preprocessing steps that consist of Contrast Limited Adaptive Histogram Equalization (CLAHE) for contrast enhancement and a difference image of green channel from its Gaussian blur filtered image to remove local noise or geometrical objects. The proposed Modified Iterative Self Organizing Data Analysis Technique (MISODATA) has been used for segmentation of vessel and non-vessel pixels based on global and local thresholding. Finally, postprocessing steps have been applied using region properties (area, eccentricity) to eliminate the unwanted regions/segments, nonvessel pixels, and noise. A novel postprocessing steps are used to reject misclassified foreground pixels. The strategy has been tested on the openly accessible DRIVE (Digital Retinal Images for Vessel Extraction) and STARE (STructured Analysis of the REtina) databases. The average accuracy rates of 0.952 and 0.957 with average sensitivity rates 0.780 and 0.745 along with average specificity rates of 0.972 and 0.974 were obtained on DRIVE and STARE datasets, respectively. The performance of the proposed technique has been assessed comprehensively. The acquired accuracy, robustness, low complexity, and high efficiency make the method an efficient tool for an automatic retinal image analysis. The proposed technique perform well as compared to the existing strategies on the online available databases in term of accuracy, sensitivity, specificity, false positive rate, true positive rate, and area under receiver operating characteristic (ROC) curve. International Islamic University Malaysia-IIUM 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58831/1/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_article.pdf application/pdf en http://irep.iium.edu.my/58831/2/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_scopus.pdf application/pdf en http://irep.iium.edu.my/58831/13/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_wos.pdf Khan, Khan Bahadarkhan and Abdul Khaliq, Amir and Print \| Email Scopus - Author details - Shahid, Muhammad Usman and Khan, Sheroz (2016) An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE. IIUM Engineering Journal, 17 (2). pp. 31-46. ISSN 1511-788X http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/611/439
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Khan, Khan Bahadarkhan Abdul Khaliq, Amir Print \| Email Scopus - Author details - Shahid, Muhammad Usman Khan, Sheroz An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
description	Retinal damage caused due to complications of diabetes is known as a Diabetic Retinopathy (DR). In this case, the vision is obscured due to damage of tiny retinal blood vessels. These tiny blood vessels may cause leakage that affect the vision and can lead to complete blindness. Identification of these new retinal vessels and their structure is an essential for analysis of DR. Automatic blood vessel segmentation plays a significant role to assist subsequent automatic methodologies that aid to such analysis. In literature, most authors have used computationally-hungry strong preprocessing steps followed by a simple thresholding and postprocessing steps. This paper proposed an arrangement of simple preprocessing steps that consist of Contrast Limited Adaptive Histogram Equalization (CLAHE) for contrast enhancement and a difference image of green channel from its Gaussian blur filtered image to remove local noise or geometrical objects. The proposed Modified Iterative Self Organizing Data Analysis Technique (MISODATA) has been used for segmentation of vessel and non-vessel pixels based on global and local thresholding. Finally, postprocessing steps have been applied using region properties (area, eccentricity) to eliminate the unwanted regions/segments, nonvessel pixels, and noise. A novel postprocessing steps are used to reject misclassified foreground pixels. The strategy has been tested on the openly accessible DRIVE (Digital Retinal Images for Vessel Extraction) and STARE (STructured Analysis of the REtina) databases. The average accuracy rates of 0.952 and 0.957 with average sensitivity rates 0.780 and 0.745 along with average specificity rates of 0.972 and 0.974 were obtained on DRIVE and STARE datasets, respectively. The performance of the proposed technique has been assessed comprehensively. The acquired accuracy, robustness, low complexity, and high efficiency make the method an efficient tool for an automatic retinal image analysis. The proposed technique perform well as compared to the existing strategies on the online available databases in term of accuracy, sensitivity, specificity, false positive rate, true positive rate, and area under receiver operating characteristic (ROC) curve.
format	Article
author	Khan, Khan Bahadarkhan Abdul Khaliq, Amir Print \| Email Scopus - Author details - Shahid, Muhammad Usman Khan, Sheroz
author_facet	Khan, Khan Bahadarkhan Abdul Khaliq, Amir Print \| Email Scopus - Author details - Shahid, Muhammad Usman Khan, Sheroz
author_sort	Khan, Khan Bahadarkhan
title	An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
title_short	An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
title_full	An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
title_fullStr	An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
title_full_unstemmed	An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE
title_sort	efficient technique for retinal vessel segmentation and denoising using modified isodata and clahe
publisher	International Islamic University Malaysia-IIUM
publishDate	2016
url	http://irep.iium.edu.my/58831/ http://irep.iium.edu.my/58831/ http://irep.iium.edu.my/58831/1/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_article.pdf http://irep.iium.edu.my/58831/2/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_scopus.pdf http://irep.iium.edu.my/58831/13/58831_AN%20EFFICIENT%20TECHNIQUE%20FOR%20RETINAL_wos.pdf
first_indexed	2023-09-18T21:23:14Z
last_indexed	2023-09-18T21:23:14Z
_version_	1777412021926494208

An efficient technique for retinal vessel segmentation and denoising using modified isodata and CLAHE

Similar Items