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A novel method for detection of Preferred Retinal Locus (PRL) through simple retinal image processing using MATLAB

机译:通过使用MATLAB的简单视网膜图像处理来检测首选视网膜位点(PRL)的新方法

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摘要

A 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.
机译:本文提出了一种检测人眼中“首选视网膜位点”(PRL)的简单新技术。使用简单的MATLAB算法估计视网膜图像的RGB像素强度值。该技术证明在中央凹中不存在“ S”锥,并且还提出了棒与蓝色感知有关。拍摄中央视力丧失和正常视网膜的视网膜图像以进行图像处理。蓝色最小值,红色最大值和红色+绿色最大值是检测PRL的三种方法。这些方法还根据患者的年龄和视力进行了比较分析。

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