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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 MATLABŪ-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 MATLABŪ 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 MATLABŪ.
Extra features of this book include:
More than 30 MATLABŪ tutorials, which consist of step-by-step guides to exploring image and video processing techniques using MATLABŪ
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.
LIST OF TABLES xxxix
PART I IMAGE PROCESSING
1 INTRODUCTION AND OVERVIEW 3
1.1 Motivation / 3
1.2 Basic Concepts and Terminology / 5
1.3 Examples of Typical Image Processing Operations / 6
1.4 Components of a Digital Image Processing System / 10
1.5 Machine Vision Systems / 12
1.6 Resources / 14
1.7 Problems / 18
2 IMAGE PROCESSING BASICS 21
2.1 Digital Image Representation / 21
2.1.1 Binary... MORE
Oge Marques, PhD, is Associate Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. He has been teaching and doing research on image and video processing for more than twenty years, in seven different countries. Dr. Marques is the coauthor of Processamento Digital de Imagens and Content-Based Image and Video Retrieval and was editor-in-chief of the Handbook of Video Databases, a comprehensive work with contributions from more than 100 world experts in the field. He is a Senior Member of both the IEEE and the ACM.