Feature Extraction and Image Processing for Computer Vision
eBook - ePub

Feature Extraction and Image Processing for Computer Vision

  1. 632 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Feature Extraction and Image Processing for Computer Vision

About this book

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. - Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews - 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 - The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

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Yes, you can access Feature Extraction and Image Processing for Computer Vision 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 image
  2. Title page
  3. Table of Contents
  4. Dedication
  5. Copyright
  6. Preface
  7. About the authors
  8. Chapter 1. Introduction
  9. Chapter 2. Images, sampling, and frequency domain processing
  10. Chapter 3. Basic image processing operations
  11. Chapter 4. Low-level feature extraction (including edge detection)
  12. Chapter 5. High-level feature extraction: fixed shape matching
  13. Chapter 6. High-level feature extraction: deformable shape analysis
  14. Chapter 7. Object description
  15. Chapter 8. Introduction to texture description, segmentation, and classification
  16. Chapter 9. Moving object detection and description
  17. Chapter 10. Appendix 1: Camera geometry fundamentals
  18. Chapter 11. Appendix 2: Least squares analysis
  19. Chapter 12. Appendix 3: Principal components analysis
  20. Chapter 13. Appendix 4: Color images
  21. Index