Image Processing Recipes in MATLAB®
eBook - ePub

Image Processing Recipes in MATLAB®

  1. 262 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Image Processing Recipes in MATLAB®

About this book

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.

Key Features:

  • A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB.
  • Each recipe is presented through clear, step-by-step instructions and rich visual examples.
  • Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference.
  • Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges.

The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.

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Yes, you can access Image Processing Recipes in MATLAB® by Oge Marques,Gustavo Benvenutti Borba in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Table of Contents
  8. Preface
  9. Part I Basic image processing: Acquisition and visualization
  10. Part II Geometric operations
  11. Part III Histograms
  12. Part IV Point transformations
  13. Part V Spatial filtering and special effects
  14. Part VI Image segmentation
  15. Part VII Binary image analysis
  16. Part VIII Color image processing
  17. Part IX Batch processing and handling large images
  18. Bibliography
  19. Index