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In this book a global shape model is developed and applied to the
analysis of real pictures acquired with a visible light camera
under varying conditions of optical degradation. Computational
feasibility of the algorithms derived from this model is achieved
by analytical means. The aim is to develop methods for image
understanding based on structured restoration, for example
automatic detection of abnormalities. We also want to find the
limits of applicability of the algorithms. This is done by making
the optical degradations more and more severe until the algorithms
no longer succeed in their task. This computer experiment in
pattern theory is one of several. The others, LEAVES, X-RAYS, and
RANGE are described elsewhere. This book is suitable for an
advanced undergraduate or graduate seminar in pattern theory, or as
an accompanying book for applied probability, computer vision, or
pattern recognition.
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Paperback
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R367
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Discovery Miles 3 400
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