Eye movements present during acquisition of a retinal image with optical coherence tomography (OCT) introduce motion artifacts into the image, complicating analysis and registration. This effect is especially pronounced in highresolution data sets acquired with adaptive optics (AO)-OCT instruments. Several retinal tracking systems have been introduced to correct retinal motion during data acqui...

Exudate is one of the serious complications and a major cause of blindness in diabetic retinopathy patients. Nowadays, the digital retinal image is frequently used to follow-up and diagnoses eye diseases. Therefore, the retinal image is crucial and essential for expert to detect of exudates. Unfortunately, the retinal images in Thailand are poor quality image. Detecting exudates in a large numb...

Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases. However, captured by operators with various levels experience have a large variation in quality. Low-quality increase uncertainty observation lead to risk misdiagnosis. due special optical beam imaging structure retina, natural image enhancement methods cannot be utilized directly address this. In th...

Abstract Detection of the optic disc which has similar brightness with hard and soft exudate lesions seen in early stage diabetic retinopathy is very difficult due to different light conditions contrast values. Automatic detection these by expert systems medical field important. In this context, we propose a new approach based on analysis color spaces, keypoint detectors, texture for retinal fu...

Medical imaging is very popular research area these days and includes computer aided diagnosis of different diseases by taking digital images as input. Digital retinal images are used for the screening and diagnosis of diabetic retinopathy, an eye disease. An automated system for the diagnosis of diabetic retinopathy should highlight all signs of disease present in the image and in order to imp...

We describe a new method for pairwise retinal image registration. The proposed method is unique in that the radial distortion due to image acquisition is corrected prior to the geometric transformation. Since the overlapping region is typically small in a retinal image pair, only a few correspondences are available, thus limiting the applicable model to an affine transform at best. To recover t...

DOWNLOAD HERE Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structur...

Retinal image size can be used to judge objects' distances because for any object one can assume that some sizes are more likely than others. It has been shown that an increased variability in the size of otherwise identical target objects over trials reduces the weight given to retinal image size as a distance cue. Here, we examined whether an increased variability in the size of objects of a ...

The analysis of retinal blood vessels plays an important role in detecting and treating retinal diseases. In this review, we present an automated method to segment blood vessels of fundus retinal image. The proposed method could be used to support a non-intrusive diagnosis in modern ophthalmology for early detection of retinal diseases, treatment evaluation or clinical study. This study combine...