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Machine Vision Algorithms in Java

Techniques and Implementation

  • Book
  • © 2001

Overview

Authors:
  1. Paul F. Whelan

    1. Vision Systems Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, Republic of Ireland

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  2. Derek Molloy

    1. Vision Systems Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, Republic of Ireland

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    You can also search for this author in PubMed   Google Scholar

  • A complete self-contained treatment of all topics and techniques essential to the understanding and implementation of machine vision
  • 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
  • A wide range of illustrative examples

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xvii
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  2. An Introduction to Machine Vision

    • Paul F. Whelan, Derek Molloy
    Pages 1-19

  3. Java Fundamentals

    • Paul F. Whelan, Derek Molloy
    Pages 21-59

  4. Machine Vision Techniques

    • Paul F. Whelan, Derek Molloy
    Pages 61-135

  5. Mathematical Morphology

    • Paul F. Whelan, Derek Molloy
    Pages 137-174

  6. Texture Analysis

    • Paul F. Whelan, Derek Molloy
    Pages 175-190

  7. Colour Image Analysis

    • Paul F. Whelan, Derek Molloy
    Pages 191-221

  8. Neat Vision: Visual Programming for Machine Vision

    • Paul F. Whelan, Derek Molloy
    Pages 223-260

  9. Back Matter

    Pages 261-284
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Keywords

About this book

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.

Authors and Affiliations

  • Vision Systems Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, Republic of Ireland

    Paul F. Whelan, Derek Molloy

Bibliographic Information

  • Book Title: Machine Vision Algorithms in Java

  • Book Subtitle: Techniques and Implementation

  • Authors: Paul F. Whelan, Derek Molloy

  • DOI: https://doi.org/10.1007/978-1-4471-0251-9

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 2001

  • Hardcover ISBN: 978-1-85233-218-1Published: 27 October 2000

  • Softcover ISBN: 978-1-4471-1066-8Published: 10 September 2012

  • eBook ISBN: 978-1-4471-0251-9Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVII, 284

  • Topics: Image Processing and Computer Vision, Data Structures, Complexity, Machinery and Machine Elements

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