Retinal images are frequently corrupted by unwanted variations in intensity that occur due to general imperfections in the image acquisition process. This inhomogeneous illumination across the retina can limit the useful information accessible within the acquired image. Specifically, this can lead to serious difficulties when performing image processing tasks requiring quantitative analysis of ...

This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...

A basic question about visual perception is whether the retina produces a faithful or a distorted neural representation of the visual image. It is now well known that in some retinal pathways there are significant nonlinear transductions which distort the neural image. The next natural question is, What are the locations of the nonlinear stages within the retinal network? We report here on an i...

A point light source flickering on and off during a horizontal saccade projects a horizontal array onto the retina. The apparent visual direction of the tail end of the perceived (phantom) array reflects the amount of perisaccadic shift of spatiotopic coordinates that has been completed by the end of the saccade. Four men, saccading 8 degrees to the right across a flashing light, judged the hor...

Abstract
 Light emitted in the wavelength range of 400–500 nm causes a very significant photochemical effect on retina. At certain doses blue light energy can cause damage to retina, so study safety projectors used domestic conditions is an urgent task. The aim this work photobiological image with emitting diodes. paper analyzes requirements for tube systems and methods assessing danger th...

Manual examination of retina images for the diagnosis of diabetic retinopathy is a time consuming and error prone process, requiring identification of inconspicuous anomalies like micro-aneurysms and exudates. In this work, we explore machine learning techniques for automatic identification and severity classification of diabetic retinopathy from retina images. The presented approach involves i...

Spatial image processing chips, known as silicon retinas, are based on the architecture of vertebrate retina and can be mathematically represented as the Laplacian of Gaussian (LOG) and Difference of Gaussian (DOG). In this paper, attention has been paid on implementing a retina function through the LOG model. Previous implementations have used a hexagonal resistive mesh within the pixel array,...

Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the retina. It cannot be fully cured, however, its progression can controlled in case early diagnosis. Unfortunately, due absence clear symptoms during stages, diagnosis are rare. must detected at stages since late lead permanent vision loss. affects retina by damaging Optic Nerve Head (ONH). Its dependent on me...

Computer-Aided Diagnosis (CAD) of retinal pathology is a dynamic medical analysis area. The CAD system in the optical coherence tomography (OCT) important for monitoring ocular diseases because heavy utilization OCT imaging process. Multi-Scale Expert Convolution Mixture (MCME) designed to classify normal retina. becoming one most popular non-invasive evaluation approaches eye disease. amount g...