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26 September 2013 A novel method for detection of preferred retinal locus (PRL) through simple retinal image processing using MATLAB
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Abstract
simple and new technique for detection of ‘Preferred Retinal Locus’ (PRL) in human eye is proposed in this paper. Simple MATLAB algorithms for estimating RGB pixel intensity values of retinal images were used. The technique proved non-existence of ‘S’ cones in Fovea Centralis and also proposes that rods are involved in blue color perception. Retinal images of central vision loss and normal retina were taken for image processing. Blue minimum, Red maximum and Red+Green maximum were the three methods used in detecting PRL. Comparative analyses were also performed for these methods with patient’s age and visual acuity.
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V. Kalikivayi, Sudip Pal, and A. R. Ganesan "A novel method for detection of preferred retinal locus (PRL) through simple retinal image processing using MATLAB", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885623 (26 September 2013); https://doi.org/10.1117/12.2022342
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