Abstract:
In Ophthalmology, Hess screen is an imperative instrument which is primarily employed for the
measurement of paralytic strabismus. Strabismus is the state of eye in which eyes are not
properly aligned with each other and patient complaint for double vision (diplopia). In this thesis
we propose a model for the automation of traditional Hess Screen instrument for the diagnosis of
strabismus. Presently Hess Screen Instrument is totally manual which consume lot of time of
patient as well as ophthalmologist. We present a three stage system consisting of image
acquisition, point extraction, plotting of Hess chart and computer aided diagnosis algorithm. First
stage is composed of a digital camera which will take images of the HESS board and transfer it
to a computer. In second stage image processing techniques are used to extract points from
images to draw HESS plot, and in third stage an algorithm based on fuzzy logic is designed
which will automatically diagnose the paralytic strabismus using statistics of the Hess graphs.
This system is convenient, fast and has an ability to manage medical record with refinement. The
evaluation of proposed system is performed by using dataset provided by well known local
hospital.
