ABSTRACT
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.
TABLE OF CONTENTS
part I|26 pages
Basic image processing: Acquisition and visualization
part II|18 pages
Geometric operations
part III|26 pages
Histograms
part IV|28 pages
Point transformations
part V|22 pages
Spatial filtering and special effects
part VI|36 pages
Image segmentation
part VII|32 pages
Binary image analysis
part VIII|32 pages
Color image processing
part IX|20 pages
Batch processing and handling large images