Automatic Generation of Synthetic Retinal Fundus Images

The VirtualLab package provides tools for the generation of synthetic speckle images, deformation of speckle images using prescribed deformation fields and modelling of camera

Although some CH applications also allow for a hybrid explo- ration of registered images besides the 3D model (see discussion in next section), to the best of our knowledge

In this study, we propose Application-Oriented Retinal Image Models that define a space-variant configuration of uniform images and contemplate requirements of energy consumption

As we can see in Figure 34, the colour intensity is much higher in image b), then we can expect a better result when the images are processed. Same procedure, as the previous, was

This report describes different techniques for preprocessing, segmentation, and detection of vehicle sized objects in LADAR images. Five preprocessing strategies are presented;

Keywords: Discrete Radon transforms, edge detection operators, image restoration, iterative methods, Laplace operator, scalloping, ScanSAR, stripe noise, synthetic aperture

The algorithm consists of the following main steps: 1) dark spot detection based on segmen- tation of the SAR image, 2) feature extraction from the segmented image, 3) classification

Given that ade- quate data are available, this method could also be used to estimate age of other species using images of otoliths or fish