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Measuring Shape (Paperback)
Loot Price: R2,739
Discovery Miles 27 390
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Measuring Shape (Paperback)
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"John Russ is the master of explaining how image processing gets
applied to real-world situations. With Brent Neal, he's done it
again in Measuring Shape, this time explaining an expanded toolbox
of techniques that includes useful, state-of-the-art methods that
can be applied to the broad problem of understanding,
characterizing, and measuring shape. He has a gift for finding the
kernel of a particular algorithm, explaining it in simple terms,
then giving concrete examples that are easily understood. His
perspective comes from solving real-world problems and separating
out what works in practice from what is just an abstract
curiosity." -Tom Malzbender, Hewlett-Packard Laboratories, Palo
Alto, California, USA Useful for those working in fields including
industrial quality control, research, and security applications,
Measuring Shape is a handbook for the practical application of
shape measurement. Covering a wide range of shape measurements
likely to be encountered in the literature and in software
packages, this book presents an intentionally diverse set of
examples that illustrate and enable readers to compare methods used
for measurement and quantitative description of 2D and 3D shapes.
It stands apart through its focus on examples and applications,
which help readers quickly grasp the usefulness of presented
techniques without having to approach them through the underlying
mathematics. An elusive concept, shape is a principal governing
factor in determining the behavior of objects and structures.
Essential to recognizing and classifying objects, it is the central
link in manmade and natural processes. Shape dictates everything
from the stiffness of a construction beam, to the ability of a leaf
to catch water, to the marketing and packaging of consumer
products. This book emphasizes techniques that are quantitative and
produce a meaningful yet compact set of numerical values that can
be used for statistical analysis, comparison, correlation,
classification, and identification. Written by two renowned authors
from both industry and academia, this resource explains why users
should select a particular method, rather than simply discussing
how to use it. Showcasing each process in a clear, accessible, and
well-organized way, they explore why a particular one might be
appropriate in a given situation, yet a poor choice in another.
Providing extensive examples, plus full mathematical descriptions
of the various measurements involved, they detail the advantages
and limitations of each method and explain the ways they can be
implemented to discover important correlations between shape and
object history or behavior. This uncommon assembly of information
also includes sets of data on real-world objects that are used to
compare the performance and utility of the various presented
approaches.
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