Feature Extraction and Image Processing for Computer Vision
eBook - ePub

Feature Extraction and Image Processing for Computer Vision

Mark Nixon,Alberto Aguado

  1. 650 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Feature Extraction and Image Processing for Computer Vision

Mark Nixon,Alberto Aguado

Book details
Table of contents
Citations

About This Book

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. 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 link between theory and exemplar code of the algorithms." Essential background theory is carefully explained.

This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

  • The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
  • A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning
  • Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour)
  • Good balance between providing a mathematical background and practical implementation
  • Detailed and explanatory of algorithms in MATLAB and Python

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Yes, you can access Feature Extraction and Image Processing for Computer Vision by Mark Nixon,Alberto Aguado 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.

Information

Publisher
Academic Press
Year
2019
ISBN
9780128149775
Edition
4
Topic
Computer Science
Subtopic
Computer Vision & Pattern Recognition
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. 1. Introduction
  8. 2. Images, sampling and frequency domain processing
  9. 3. Image processing
  10. 4. Low-level feature extraction (including edge detection)
  11. 5. High-level feature extraction: fixed shape matching
  12. 6. High-level feature extraction: deformable shape analysis
  13. 7. Object description
  14. 8. Region-based analysis
  15. 9. Moving object detection and description
  16. 10. Camera geometry fundamentals
  17. 11. Colour images
  18. 12. Distance, classification and learning
  19. Index
Citation styles for Feature Extraction and Image Processing for Computer Vision

APA 6 Citation

Nixon, M., & Aguado, A. (2019). Feature Extraction and Image Processing for Computer Vision (4th ed.). Elsevier Science. Retrieved from https://www.perlego.com/book/1830389/feature-extraction-and-image-processing-for-computer-vision-pdf (Original work published 2019)

Chicago Citation

Nixon, Mark, and Alberto Aguado. (2019) 2019. Feature Extraction and Image Processing for Computer Vision. 4th ed. Elsevier Science. https://www.perlego.com/book/1830389/feature-extraction-and-image-processing-for-computer-vision-pdf.

Harvard Citation

Nixon, M. and Aguado, A. (2019) Feature Extraction and Image Processing for Computer Vision. 4th edn. Elsevier Science. Available at: https://www.perlego.com/book/1830389/feature-extraction-and-image-processing-for-computer-vision-pdf (Accessed: 15 October 2022).

MLA 7 Citation

Nixon, Mark, and Alberto Aguado. Feature Extraction and Image Processing for Computer Vision. 4th ed. Elsevier Science, 2019. Web. 15 Oct. 2022.