HE arguments regarding the importance of information theory
with respect to this project vary. Information theory is indeed valuable
due to its relevance to past projects in the field, on which future
projects will rely. Image analysis is often involves the passage and
handling of large sets of data and extraction of the meaning of the
data is a necessity. Compression becomes ever more crucial when voluminous
models and entities are maintained in memory and, again, reasoning
about compression goes back to the theory of information. New ways
to encode data, avoid redundancy and describe objects succinctly are
being sought as they often reduce the complexity of any system
as well as its size. Measures of information are necessary
to introduce and support learning capabilities which in turn form
intelligent systems. Such systems can evaluate and judge improvement
as illustrated thus far and as will be illustrated later.