P.F.
Whelan and D. Molloy (2000), Machine Vision Algorithms in Java: Techniques
and Implementation,
Springer
(London), 298 Pages. ISBN 1-85233-218-2.
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Machine Vision Algorithms
in Java provides a comprehensive introduction to the algorithms and
techniques associated with machine vision systems. The Java programming
language is also introduced, with particular reference to its imaging capabilities.
The book contains explanations of key machine vision techniques and algorithms,
along with the associated Java source code.
Special features include:
-
A complete self-contained treatment
of the topics and techniques essential to the understanding and implementation
of machine vision.
-
An introduction to object-oriented
programming and to the Java programming language, with particular reference
to its imaging capabilities.
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Java source code for a wide
range of practical image processing and analysis functions.
-
Readers will be given the opportunity
to download a fully functional Java-based visual programming environment
for machine vision, available via the WWW. This contains over 200 image
processing, manipulation and analysis functions and will enable users to
implement many of the ideas covered in this book.
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Details relating to the design
of a Java-based visual programming environment for machine vision.
-
An introduction to the Java
2D Imaging and Java Advanced Imaging (JAI) API's.
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A wide range of illustrative
examples.
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Practical treatment of the subject
matter.
This book is aimed at senior
undergraduate and postgraduate students in engineering and computer science
as well as practitioners in machine vision who may wish to update or expand
their knowledge of the subject. The techniques and algorithms of machine
vision are expounded in a way that will be understood not only by specialists,
but also by those who are less familiar with the topic.
NEWS:
Book to be reprinted in Aug. 2001 |