Enhancement of retinal fundus image using multi-scale tophat transformation
by Meenu Garg; Sheifali Gupta; Gurjinder Kaur; Deepika Koundal
International Journal of Biometrics (IJBM), Vol. 15, No. 3/4, 2023

Abstract: In biomedical image processing, enhancement of fundus image is the challenging problem to reveal the hidden features of a retinal image. To enhance the features of retinal images, different image enhancement techniques are used. This paper presents a multi-scale tophat transformation technique for retinal image enhancement. Simulation is performed on the DRIVE dataset of fundus image using MATLAB. Various performance metrics have also been measured for checking the efficacy of the proposed method like CII, PSNR, clarity index (PL), mean square error (MSE), NAE. Comparative analysis of proposed transformation technique is made with existing techniques like HE, CLAHE, and BPDFHE in terms of different performance metrics. The proposed method achieved improvement in CII, PSNR, PL and reduction in MSE and NAE when compared with the previous existing techniques.

Online publication date: Tue, 02-May-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com