Intra-ocular lens defect detection using generalized hough transform

Intra-ocular lenses are used to replace the natural lenses in eyes when it grows cloudy, a condition known as cataract which is typically observed among elderly people. Lens that is to be placed inside one's eye necessitates the use of precision tools and high quality materials to prevent any damage to one's eyesight. This in turn, requires the development of technologies which aid in production of lenses of superior quality and quality inspection. Currently, most companies perform manual inspection of lenses which is a laborious process and prone to human errors. This paper would postulate an algorithm for the implementation in an automated intra-ocular lens defect detection and quality assessment system. This would reduce time and cost of labor significantly leading to better segregation of lenses and increase in output quality.