Abstract
M.Sc. (Computer Science)
In this dissertation, a study of the field of computer vision as well as various fields relating
to computer vision is made.
An investigation of organic vision is made involving the study of the organic focusing
device and visual cortex in humans. This is also done from a psychological point-of-view.
Various network models emulating the neuronic networks as well as component networks
of the human visual cortex are investigated. Recent work done in the area of neural
networks and computer vision is also mentioned.
The mathematical theory and techniques used in the area of image formation and image
processing, is studied.
The study of the field of artificial intelligence and its relation towards the computer vision
problem, is made as well as a discussion of numerous application systems that have
been developed.
Existing industrial applications of computer vision are studied as well as the mentioning
of systems that have been developed for this purpose.
The use of parallel architectures and multiresolution systems for computer vision application,
are investigated.
Finally, a discussion of the formal language theory and automata is given in terms of its
relevance to computer vision. The discussion centers around the the recognition of two
and three-dimensional structures by various automata in the two dimensions.
From this study, a formal model for the recognition of three-dimensional digital structures,
is proposed and informally defined. It will be the aim of further study to fully develop
and implement this model.