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العنوان
Torsional Angle Calculation Using Image Processing
Technique =
المؤلف
Yassin, Mona AbdAllah Mohammed El-Maghawry.
هيئة الاعداد
باحث / Mona AbdAllah Mohammed El-Maghawry Yassin
مشرف / Nancy M. Salem
مشرف / Mohamed A. El Dosoky
مشرف / Mohamed A. El Dosoky
الموضوع
Biomedical Engineering.
تاريخ النشر
2019.
عدد الصفحات
1 VOL. (various paging’s) :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Multidisciplinary تعددية التخصصات
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة حلوان - كلية الهندسة - حلوان - Biomedical Engineering
الفهرس
Only 14 pages are availabe for public view

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from 136

Abstract

Strabismus refers to a case in which the two eyes are
misaligned. Correct alignment of the two eyes is essential to
avoid double vision, to be able of well depth perception and to
prevent development or learning delays and consequences of
anxiety. The earlier the treatment, the better the results, it
might be produced by overactive or underactive eye muscles.
Eyeglasses, patching, eye exercises, eye drops, and surgery are
the ways for strabismus treatment.
An Automated algorithm for Disc Foveal Angle (DFA) calculation
and classification of the type of ocular torsion in fundus images is
proposed based on digital image processing techniques. For DFA
calculation, the Optic Disc (OD) is localized using the Canny edge
detector followed by a circular Hough transform. Then, the fovea is
localized using the Wellner`s adaptive threshold followed by Canny
edge detector and circular Hough transform. The position of the
center of fovea with respect to the lower third of OD is used to
classify whether the eye is normal or extorsion or intorsion.
In our Experiments, a set of 1250 fundus images are used from two
publicly available datasets; DRIVE and MESSIDOR and a local
dataset from Research Institute of Ophthalmology (RIO).
The algorithm is applied on 1250 color fundus images, 40 images
acquired from DRIVE database, 1200 images acquired from
MESSIDOR database, and 10 images acquired from Research
Institute of Ophthalmology. A success rate of 100%, 99.583%, and
iv
100% respectively are reached for the optic disc localization an