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Register a new userEvaluation the efficiency and accuracy of retinal images registration algorithm
تقييم فعالية و دقة خوارزمية مطابقة صور شبكية العين
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نقدم في هذه البحث خوارزمية لمطابقة صور شبكية العين تعتمد بشكل أساسي على تابع الارتباط المتقاطع, كما ستقوم بتفحص و تقييم دقة خوارزمية المطابقة المدروسة على مستوى عنصر الصورة عن طريق حساب توابع الارتباط المحمية بين توابع كثافة عناصر الصورة المستخرجة من الأوعية الدموية المتُتبعة بعد تنفيذ المطابقة بين الصور المختلفة.
In this paper, we describe an algorithm to register the retinal images by employing a relatively cross-correlation function. Pixel to pixel accuracy has been investigated and evaluated among registered images by calculating the local cross-correlation between extracted vessels profiles along tracked vessels after transforming the images into alignment.
References used
Harvey A, Lawlor J, McNaught A, Williams J and Fletcher- Holmes D 2002 Hyperspectral imaging for the detection of retinal diseases, Proc SPIE. 4816.325-335
Mordant DJ, AlAbboud I, Muyo G, Gorman A, Sallam A, Ritchie P, Harvey A, McNaught AI 2011 Spectral imaging of the retina, Eye (Lond). Mar;25(3).309-20
Alabboud I, Muyo G, Gorman A, Mordant D, McNaught A, Petres C, Petillot Y, Harvey A 2007 New spectral imaging techniques for blood oximetry in the retina, Proc. SPIE 6631
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This paper proposes a new approach for the segmentation of the retina images to obtain the optic nerve and blood vessels regions. We used retinal images from DRIVE and STARE databases which include different situations like illumination variations, d
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