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

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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd24022.pdf