Background: Cataract is a disease that occurs when alterations in the eye lens result in
blurred vision. These alterations are caused due to protein accumulation in the lens of an eye. It
can lead to the decrease in vision and some loss of eyesight.
Methods: The detection of cataract is normally done using slit-lamp exam, retinal examination,
refraction and visual acuity test. However, it is possible to detect cataract with image processing
and machine learning techniques while making its clinical analysis quite easier.
Discussion: This paper discusses different techniques for automatic categorization and classification
of cataract. These techniques present considerable possibilities to lessen the load of qualified
Conclusion: Cataract sufferers in underdeveloped areas can get benefit by automated cataract classification
to recognize their cataract conditions at the right time.