Feature Extraction & Image Processing
eBook - PDF

Feature Extraction & Image Processing

  1. 424 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Feature Extraction & Image Processing

About this book

Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab.- Essential reading for engineers and students working in this cutting edge field- Ideal module text and background reference for courses in image processing and computer vision

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Yes, you can access Feature Extraction & Image Processing by Mark Nixon in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1 Introduction
  7. Chapter 2 Images, sampling and frequency domain processing
  8. Chapter 3 Basic image processing operations
  9. Chapter 4 Low-level feature extraction (including edge detection)
  10. Chapter 5 Feature extraction by shape matching
  11. Chapter 6 Flexible shape extraction (snakes and other techniques)
  12. Chapter 7 Object description
  13. Chapter 8 Introduction to texture description, segmentation and classification
  14. Chapter 9 Appendix 1: Example worksheets
  15. Chapter 10 Appendix 2: Camera geometry fundamentals
  16. Chapter 11 Appendix 3: Least squares analysis
  17. Chapter 12 Appendix 4: Principal components analysis
  18. Index