Vision is a highly dynamic process, structured by frequent eye movements that bring a new image onto the retina and initiate a short episode of visual processing. Analysis of the spatial scene can be extremely rapid and precise: For example, human subjects can detect and classify objects in brief image presentations of ~100 ms [1]. What neural codes underlie such rapid image processing has been...

In this paper a review on biometric person identification has been discussed using features from retinal fundus image. Retina recognition is claimed to be the best method among systems as retina practically impossible forge. It found most stable, reliable and secure all other systems. inherits property of uniqueness stability. The used in process are either blood vessel or non-blood features. B...

PURPOSE To detect and localize exudative lesions in exudative age-related macular degeneration and to compare images obtained from infrared scanning laser tomography and video displays of digitized color slides in detection and localization of exudation. METHODS In a prospective study, 11 eyes of 11 patients with exudative age-related macular degeneration were studied. From 32 images with inf...

Neural undersampling of the retinal image limits the range of spatial frequencies that can be represented veridically by the array of retinal ganglion cells conveying visual information from eye to brain. Our goal was to demarcate the neural bandwidth and local anisotropy of veridical perception, unencumbered by optical imperfections of the eye, and to test competing hypotheses that might accou...

PURPOSE To present a method for image segmentation and generation of enface thickness maps and reflectance images of retinal layers in healthy and diabetic retinopathy (DR) subjects. METHODS High density spectral domain optical coherence tomography (SDOCT) images were acquired in 10 healthy and 4 DR subjects. Customized image analysis software identified 5 retinal cell layer interfaces and ge...

Laser photocoagulation is a proven procedure to treat various pathologies of the retina. Challenges such as motion compensation, correct energy dosage, and avoiding incidental damage are responsible for the still low success rate. They can be overcome with improved instrumentation, such as a fully automatic laser photocoagulation system. In this paper, we present a core image processing element...

Detection of the position of anatomical structures is essential in an automatic diabetic retinopathy screening system. Using these locations, a frame of reference can be set up in the fundus image. This is essential for two reasons. 1) To successfully find abnormalities in a fundus image, it is essential to mask out the normal anatomical structures from the analysis; and 2) The distribution of ...

Given a gray scale or color image, the focus of attention is usually on a particular area. One way to accomplish this is to segment the image into various regions based on texture. This selective segmentation process has applications to both medical and satellite image processing. In this paper, we detail an approach to this selective segmentation process based on features extracted from a set ...