A Course on Digital Image Processing with MATLAB® (Second Edition)

by P K Thiruvikraman

Overview

Digital imaging is now ubiquitous, from the smart phone in your pocket to state-of-the-art medical imaging and satellite imagery. Raw imaging data can be manipulated using computer algorithms to perform a range of functions from reducing noise to complex image analysis and pattern and object recognition. The result is that digital image processing has applications in almost all areas of science and engineering. Designed for a one semester course, the aim of this book is to concentrate on the principles and techniques of image processing. This second edition includes important updates to the first edition, as well as two entirely new chapters, making the book ideal for advanced students in physics and engineering.

Key Features:

• A combination of theory, exercises and supportive software
• Uses MATLAB to perform processing transformations – and accompanied by downloadable code
• Programming exercises using MATLAB
• New chapters on machine learning, error correcting codes and cryptography

Product Details

ISBN-13:	9780750359696
Publisher:	Institute of Physics Publishing
Publication date:	11/13/2024
Series:	IOP ebooks
Sold by:	Barnes & Noble
Format:	eBook
Pages:	325
File size:	10 MB

About the Author

P. K. Thiruvikraman is a professor of physics at the Birla Institute of Technology & Science with a research interest in Digital Image Processing, Pattern Recognition / Machine Vision and Coding Theory. The author has been teaching at BITS Pilani for the last 20 years. He has taught Digital Image Processing for more than a decade.

P.K.Thiruvikraman is currently Professor of Physics at Birla Institute of Technology and Science, Pilani, Hyderabad Campus. He has nearly two decades of experience in teaching courses from many areas of Physics apart from Digital Image Processing. The author has a Ph.D in Physics from Mangalore University and a Masters degree in Physics from Indian Institute of Technology, Madras. During his teaching career he has come to realize that most subjects which are typically offered by different departments are intimately interrelated. He tries to convey this to students in his lectures by quoting examples from different areas of Science and Technology. An avid reader of both fiction and non-fiction and a sports and movie enthusiast, he tries to use these also to enliven his classes.

Table of Contents

Preface

Acknowledgements

Author biography

1 Introduction

2 Image enhancement in the spatial domain

3 Filtering in the Fourier domain

4 Image compression

5 Image analysis and object recognition

6 Image restoration

7 Wavelets

8 Color image processing

9 Introduction to MATLAB®

10 The image processing toolbox

11 Video processing

12 Applications of machine learning

13 Error correcting codes and cryptography

14 Solutions to selected exercises

15 Solutions to selected exercises