• Somesh Kumar Yadav

Assessment of the risk for the development of Age related Macular Degeneration requires reliable detection of retinal abnormalities that are considered as precursors of the disease. A typical sign for the later are the so-called squint, which appear as misalignment of the eyes. This paper presents a Hough transform algorithm for detection of abnormalities in images of the human eye acquired from a depth vision camera. In this paper we implement an efficient algorithm to detect drusen in eye images by extracting the useful information without being affected by the presence of other structures. We provide experimental results from the application of our technique to real images, where certain abnormalities (drusen) have slightly different characteristics from the background and are hard to be segmented by other conventional techniques. We present a fast method for locating eye features in frontal face images based on the Hough transform and determine the Vision loss in the turned eye. It consists of an initial detection and a tracking which uses eye features from initialization for speeding up computation. The algorithm was applied to images of subjects taken under normal room lighting conditions.

Hough transforms, image processing, co-variance filter.

"ALGORITHM FOR AGE-RELATED MACULAR DEGENERATION IN RETINA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.29-31, March-2016, Available :http://www.jetir.org/papers/JETIR1603006.pdf

"ALGORITHM FOR AGE-RELATED MACULAR DEGENERATION IN RETINA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp29-31, March-2016, Available at : http://www.jetir.org/papers/JETIR1603006.pdf