A Comparative Study to Evaluate Retinal abnormality Squint Eye on Human Face Images

  Somesh Yadav

This paper presents a comparative study for detection of abnormalities in images of the human eye acquired from a camera. This is due to defective binocular vision which causes Vision loss in the turned eye. The eyes need to be straight for the brain to combine the images seen by the two eyes into a single picture. This gives us 3-D vision, which allows us to judge depth. Any turn of the eye can interrupt 3-D vision, if an eye turns in, it can reduce the total field of vision. Over the years, many methodologies have been developed to detect squint eye. In this paper we compare an efficient algorithm to detect drusen in eye images by extracting the useful information without being affected by the presence of other structures. 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

Keywords- Hough transforms, image processing, co-variance filter

Unique Identification Number - IJEDR1601014
Page Number(s) - 85-88
Pubished in - Volume 4 | Issue 1 | January 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Somesh Yadav,   "A Comparative Study to Evaluate Retinal abnormality Squint Eye on Human Face Images", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.85-88, January 2016, Available at :http://www.ijedr.org/papers/IJEDR1601014.pdf