Machine Vision Algorithmas in Java - Paul F. Whelan , Derek Molloy - Librairie Eyrolles
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Machine Vision Algorithmas in Java

Machine Vision Algorithmas in Java

Techniques and Implementation

Paul F. Whelan, Derek Molloy

284 pages, parution le 01/11/2000

Résumé

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 tothe 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 environmentfor 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.

Contents

  • 1. An Introduction to Machine Vision.
  • 2. Java Fundamentals.
  • 3. Machine Vision Techniques.
  • 4. Mathematical Morphology.
  • 5. Texture Analysis.
  • 6. Colour Image Analysis.
  • 7. NeatVision: Visual Programming for Machine Vision.
  • Appendix A. NeatVision Graphic File Formats.
  • Appendix B. NeatVision Imaging API Specification.
  • Appendix C. NeatVision Components.
  • References.
  • Index.

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Paul F. Whelan, Derek Molloy
Parution 01/11/2000
Nb. de pages 284
Format 15,5 x 24
Couverture Relié
Poids 601g
Intérieur Noir et Blanc
EAN13 9781852332181

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