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Machine Vision Algorithms in Java Techniques and Implementation by Paul F. Whelan

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Published by Springer London in London .
Written in English

Subjects:

  • Engineering,
  • Physics,
  • Computer vision

Book details:

About the Edition

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. - 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. - 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) APIs - A wide range of illustrative examples. - 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.

Edition Notes

Statementby Paul F. Whelan, Derek Molloy
ContributionsMolloy, Derek
Classifications
LC ClassificationsQA76.9.M35
The Physical Object
Format[electronic resource] :
Pagination1 online resource (xvii, 284p. 183 illus.)
Number of Pages284
ID Numbers
Open LibraryOL27072055M
ISBN 101447110668, 1447102517
ISBN 109781447110668, 9781447102519
OCLC/WorldCa853271372

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