Contrast normalization filtering modules for segmentations of retinal blood vessels from color retinal fundus images

Qamar un nisa; Toufique Ahmed Soomro; Mehboob khuwaja; Ahmed J. Afif; BS Chowdhry

No Detail Found!

Contrast normalization filtering modules for segmentations of retinal blood vessels from color retinal fundus images

Author(s)

Qamar un nisa Electronic Engineering Department, Mehran University of Engineering and Technology,Jamshoro,Pakistan

Toufique Ahmed Soomro Electronic Engineering Department, Quaid-e-Awam University of Engineering, Science and Technology,Larkana Campus, Pakistan

Mehboob khuwaja Electronic Engineering Department, Mehran University of Engineering and Technology,Jamshoro,Pakistan

Ahmed J. Afif Department of Exploration Helmholtz Institute Freiberg for Resource Technology (HIF),,Germany

BS Chowdhry Electronic Engineering Department, Mehran University of Engineering and Technology,Jamshoro,Pakistan

Abstract

Vision loss is one of the main complications of eye disease, especially diabetic retinopathy (DR), because DR is a silent disease affecting the retina of the eye and resulting in loss of vision. Manual observation of eye disease takes time and delays effective treatment, so computerized methods are used to diagnose eye disease by extracting their features such as blood vessels, optic disc, and other abnormalities. Many computerized methods are proposed but they are still lacking to obtain small vessels. To overcome this problem, we have proposed digital image enhancement methods based on image processing techniques for detection of retinal vessels. The proposed method is based on the elimination of uneven illumination using morphological tactics and Principal Component Analysis (PCA). The main propose to use the PCA to convert the Red-Green- Blue (RGB) channels into signal well contrast image. Since the PCA technique is used in the preprocessing module to get well contrast image. These initial steps are known as the preprocessing module, and our post-processing module contains the vessel coherence and the double threshold binarization method to obtain an image of the segmented vessels. Our proposed method obtained comparable results against existing methods with sensitivity: 0.78, specificity: 0.95 and precision: 0.951 on two databases namely Digital Retinal Images for Vessel Extraction (DRIVE) and Structured Analysis of The Retina (STARE). Such performance shows that our proposed method has capability to segment the retinal blood more accurately. As well as it can be tool for ophthalmologist to diagnosis the eye disease.

Publication Details

Page(s) 64-67

DOI DOI not available

Published Journal: Sukkur IBA Journal of Emerging Technologies (SJET), Volume: 5, Issue: 1, Year: 2022

Request the full text from PASTIC

Keywords

Diabetic retinopathy, Optic disc, Principle component analysis, retinal image, morphological tactics, double thershold

Citations

Downloads

Views