Medical applications also make extensive use of image processing techniques for picture enhancements, in tomography and in simulations of operations.
Tomography is a technique of X-ray photography that allows cross-sectional views of physiological systems to be displayed.
Both computed X-ray tomography (CT) and position emission tomography (PET) use projection methods to reconstruct cross sections from digital data.
Image processing and computer graphics are often combined in medical applications to model and study physical functions, to design artificial limbs, and to plan and practice surgery.
Computer vision (or image understanding or pattern recognition) on the other hand is the extraction of information from an image.
In some aspects, computer graphics and computer vision are the inverse of each other.
Computer graphics aims to model the way in which a light interacts with a model and produces a two-dimensional image for display.
Computer vision attempts the inverse of this operation and is concerned with deriving information from a two-dimensional projection of a scene or an object.
Thus we can summarize the relationship between these three related fields as follows:
 |
Image synthesis or computer graphics is normally three-dimensional model in, two-dimensional image out. |