Under "Medical Imaging" Virtual Lab, interactive exercises through Graphical User Interfaces (GUIs) are implemented. The students are able to study the following topics:
The problem definition for "image equalization" is very simple: Some pictures have poor contrast. Namely, the distribution of image brightness values, i.e. its histogram, is very non-uniform. Image contrast enhancement techniques aim at recovering some of the apparently lost contrast in an image by remapping the brightness values, in such a way that they become more evenly distributed.
Using the “Image equalization” Graphical User Interface (GUI) one could study the idea of image equalization and two standard image equalization algorithms:
One can open any source image file, select the equalization algorithm, specify its parameters and apply equalization to the input image.
“Image denoising” refers to the process of recovering a digital image that has been contaminated by some type(s) of noise. Images taken either by digital cameras or by conventional film cameras pick up noise from a variety of sources. The use of these images requires that the noise will be (partially) removed, either for aesthetic purposes or for practical purposes such as in computer vision applications
The “Image Denoising” Graphical User Interface (GUI) helps the user to study the various types of noise, understand the idea of image denoising and study various denoising algorithms:
“Image registration” is the process of overlaying two or more images of the same scene taken at the same or different times, from different viewpoints, and/or by different sensors.
With the use of the “Image Registration” Graphical User Interface (GUI) the user is able to study the notion of “image registration” and work with three different registration algorithms:
“Image fusion” refers to the process of combining relevant information from two or more images of the same scene into a single image, enhancing the perception of the scene. The resulting image is more informative than any of the input images.
With the use of two different Graphical User Interfaces (GUIs) the user can study the main ideas in “image fusion” and work with many different fusion algorithms: