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Feature extraction and image processing [electronic resource] / Mark S. Nixon, Alberto S. Aguado.

By: Contributor(s): Material type: TextTextPublication details: Oxford ; Boston : Newnes, 2002.Edition: 1st edDescription: 1 online resource (xii, 350 p.) : illISBN:
  • 0750650788
  • 9780750650786
  • 9780080506258 (electronic bk.)
  • 0080506259 (electronic bk.)
  • 1281022012
  • 9781281022011
Subject(s): Genre/Form: Additional physical formats: Print version:: Feature extraction and image processing.DDC classification:
  • 006.37 22
LOC classification:
  • TA1637 .N596 2002eb
Other classification:
  • 54.74
Online resources:
Contents:
Front Cover; Feature Extraction and Image Processing; Copyright Page; Contents; Preface; Chapter 1. Introduction; Chapter 2. Images, sampling and frequency domain processing; Chapter 3. Basic image processing operations; Chapter 4. Low-level feature extraction (including edge detection); Chapter 5. Feature extraction by shape matching; Chapter 6. Flexible shape extraction (snakes and other techniques); Chapter 7. Object description; Chapter 8. Introduction to texture description, segmentation and classification; Chapter 9. Appendices; Index;
Summary: Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. This is an ideal module text for courses in artificial intelligence, image processing and computer vision. It is an essential reading for engineers and academics working in this cutting-edge field. It is supported by free software on a companion website.
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Includes bibliographical references and index.

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. This is an ideal module text for courses in artificial intelligence, image processing and computer vision. It is an essential reading for engineers and academics working in this cutting-edge field. It is supported by free software on a companion website.

Description based on print version record.

Front Cover; Feature Extraction and Image Processing; Copyright Page; Contents; Preface; Chapter 1. Introduction; Chapter 2. Images, sampling and frequency domain processing; Chapter 3. Basic image processing operations; Chapter 4. Low-level feature extraction (including edge detection); Chapter 5. Feature extraction by shape matching; Chapter 6. Flexible shape extraction (snakes and other techniques); Chapter 7. Object description; Chapter 8. Introduction to texture description, segmentation and classification; Chapter 9. Appendices; Index;

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