Automation in Vision Testing: Glaucoma
Detection Software
Volume 1 - Issue 4
Shilpa* and Gargi Khanna
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- National institute of information technology, E&CED, Hamirpur, India
*Corresponding author:
Shilpa, National institute of information technology, E&CED, Hamirpur, India
Received: May 26, 2018; Published: June 07, 2018
DOI:
10.32474/TOOAJ.2018.01.000117
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Abstract
Vision testing is the phenomenon of detecting the vision problems which are generally undertaken to improve prognosis
and disabilities. Apart from visual acuity measurement and refractive error problems, other eye related retinal disorders include
diabetic retinopathy, age related muscular degeneration and glaucoma. Retinal imaging plays an important role in the detection of
these disorders. Early detection of these disorders can prevent the permanent vision loss in patients. The aim of this research work
is to implement a software algorithmic program in the field of ophthalmology for the detection of glaucoma. In the present work,
Glaucoma detection is done by cup to disc ratio measurement to locate the damaged optic nerve head. DRIVE database is used to
acquire retinal images. Further codes are implemented using MATLAB software to get the results. This software system can be
utilized everywhere, especially in school health programs in Himachal Pradesh in urban as well as rural areas where it is difficult to
carry high maintenance ophthalmic machines.
Keywords: Glaucoma; Retinal Image; MATLAB
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