Home > Engineering > Computer Engineering > Volume-3 > Issue-4 > Analysis of Statistical Properties of Eye Lens Images to Detect Cataract at Earlier Stage

Analysis of Statistical Properties of Eye Lens Images to Detect Cataract at Earlier Stage

Call for Papers

Volume-8 | Issue-6

Last date : 27-Dec-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Analysis of Statistical Properties of Eye Lens Images to Detect Cataract at Earlier Stage


A. B. Jagadale | Dr. S. S. Sonavane | Dr. D. V. Jadhav

https://doi.org/10.31142/ijtsrd24022



A. B. Jagadale | Dr. S. S. Sonavane | Dr. D. V. Jadhav "Analysis of Statistical Properties of Eye Lens Images to Detect Cataract at Earlier Stage" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.1100-1103, URL: https://www.ijtsrd.com/papers/ijtsrd24022.pdf

Cataract is clouding of eye lens cause partial or complete blindness. Aging of eye lens or injury to eye lens are major reasons to cause cataract. Smoking and use of excessive use of steroids also leads to development of cataract. Clumping of protein molecules and water molecules in natural eye lens leads of development of Cataract. Opacity at center of lens it is called as nuclear cataract while at edges of lens is called cortical cataract. The lens focuses the reflections form object at retina and causes clear vision. The opaqueness of lens at center position due to nuclear cataract causes the incorrect image formation at retina causing poor vision. Detection of same at earlier stage may help to correct vision by us of external lens. The patient may be advised treatment to prohibit the further growth of cataract. In research work presented slit lamp images with image processing techniques are used to detect the cataract at earlier stage. The wide slit illumination images are used to detect cataract. In the proposed system Hough circle detection transform is preferred to extract lens structure. The mask is created using lens center and radius extracted from Hough circle detection transform. The lens without cataract is having less mean value and uniformity compared to lens wit cataract. These statistical parameters are independent on scale and size of image. The graphical user interface is developed to automate and to make system access user friendly.

cataract, slit lamp images Lens extraction, Hough circle transform, statistical parameters


IJTSRD24022
Volume-3 | Issue-4, June 2019
1100-1103
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin