Abstract
Blindness and visual impairment have become major health problems today, with one major source of impairment being the formation of cataract disease. Cataract disease affects around 20 million individuals worldwide, with three out of every four being above the age of 60. A cataract is a clouding of the lens that impairs vision and can lead to blindness. Accurate and convenient detection of cataracts is essential for improving this condition. This paper presents a model based on linear regression to predict the presence of cataracts from images of the human eye. Experiments were conducted to validate the model. Various image processing techniques have also been used to perform image preprocessing and contrast enhancement, with patients notified about their eye health via SMS.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EAI Endorsed Transactions on Pervasive Health and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
