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Full Description
UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING
This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation.
The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation.
Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®.
Extra features of this book include:
More than 30 MATLAB® tutorials, which consist of step-by-step guides toexploring image and video processing techniques using MATLAB®
Chapters supported by figures, examples, illustrative problems, and exercises
Useful websites and an extensive list of bibliographical references
This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.
Contents
List of Figures xxi
List of Tables xxxix
Foreword xli
Preface xliii
Acknowledgments xlix
Part I Image Processing
1 Introduction and Overview 3
2 Image Processing Basics 21
3 MATLAB Basics 35
4 The Image Processing Toolbox at A Glance 61
5 Image Sensing and Acquisition 83
6 Arithmetic and Logic Operations 103
7 Geometric Operations 125
8 Gray-Level Transformations 151
9 Histogram Processing 171
10 Neighborhood Processing 203
11 Frequency-Domain Filtering 235
12 Image Restoration 265
13 Morphological Image Processing 299
14 Edge Detection 335
15 Image Segmentation 365
16 Color Image Processing 387
17 Image Compression and Coding 427
18 Feature Extraction and Representation 447
19 Visual Pattern Recognition 475
Part II Video Processing
20 Video Fundamentals 501
21 Video Sampling Rate And Standards Conversion 541
22 Digital Video Processing Techniques and Applications 561
Appendix A: Human Visual Perception 591
Appendix B: GUI Development 611
References 619
Index 627
