Performance Evaluation of Various Denoising Filters and segmentation methods for OCT images


The visual activity contributes to the perception, identification and localization of the different scenes of life. Any visual impairment can be very bothersome in the daily life and can lead in some cases to a danger like keratoconus. OCT presents a better way of diagnosing of this disease. It is a powerful aid tool for ophthalmic physicians in early decisionmaking for better patient management. In this paper, we used many filters such as Lee, kuan, Frost filters, the Hard thresholding, Soft thresholding and Anisotropic diffusion methods. These filters have the combined property of edge preservation and noise removal.then we present an automatic method of segmentation for the detection of keratoconus.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL