Practical image and video processing using MATLAB / Oge Marques

Von:

Marques, Oge [aut]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Wiley - IEEE SerVerlag: Hoboken, N.J : Wiley/IEEE Press, c2011Auflage: Online-AusgBeschreibung: Online-Ressource (1 online resource (1, 639 p.)) : ill. (some col.)ISBN:

9781283239912
1283239914
9781118093481

Schlagwörter:

Andere physische Formen: 0470048158 | 9780470048153 | 9781118093481 | 1283238527 | Erscheint auch als: Practical image and video processing using MATLAB. Druck-Ausgabe Hoboken, NJ : Wiley, 2011. L, 639 S.DDC-Klassifikation:

502.8566
502.85/66
621.367
TEC015000

MSC: MSC: 68T45 | 68M10 | 68-02 | 68P20RVK: RVK: ST 601 | ST 330LOC-Klassifikation:

TA1637

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 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 to exploring image and video processing techniques using MATLAB®Zusammenfassung: Practical Image and Video Processing Using MATLAB® -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- FOREWORD -- PREFACE -- ACKNOWLEDGMENTS -- PART I: IMAGE PROCESSING -- 1 INTRODUCTION AND OVERVIEW -- 1.1 Motivation -- 1.2 Basic Concepts and Terminology -- 1.3 Examples of Typical Image Processing Operations -- 1.4 Components of a Digital Image Processing System -- 1.5 Machine Vision Systems -- 1.6 Resources -- 1.7 Problems -- 2 IMAGE PROCESSING BASICS -- 2.1 Digital Image Representation -- 2.1.1 Binary (1-Bit) Images -- 2.1.2 Gray-Level (8-Bit) Images -- 2.1.3 Color Images -- 2.1.4 Compression -- 2.2 Image File Formats -- 2.3 Basic Terminology -- 2.4 Overview of Image Processing Operations -- 2.4.1 Global (Point) Operations -- 2.4.2 Neighborhood-Oriented Operations -- 2.4.3 Operations Combining Multiple Images -- 2.4.4 Operations in a Transform Domain -- 3 MATLAB BASICS -- 3.1 Introduction to MATLAB -- 3.2 Basic Elements of MATLAB -- 3.2.1 Working Environment -- 3.2.2 Data Types -- 3.2.3 Array and Matrix Indexing in MATLAB -- 3.2.4 Standard Arrays -- 3.2.5 Command-Line Operations -- 3.3 Programming Tools: Scripts and Functions -- 3.3.1 M-Files -- 3.3.2 Operators -- 3.3.3 Important Variables and Constants -- 3.3.4 Number Representation -- 3.3.5 Flow Control -- 3.3.6 Code Optimization -- 3.3.7 Input and Output -- 3.4 Graphics and Visualization -- 3.5 Tutorial 3.1: MATLAB-a Guided Tour -- 3.6 Tutorial 3.2: MATLAB Data Structures -- 3.7 Tutorial 3.3: Programming in MATLAB -- 3.8 Problems -- 4 THE IMAGE PROCESSING TOOLBOX AT A GLANCE -- 4.1 The Image Processing Toolbox: an Overview -- 4.2 Essential Functions and Features -- 4.2.1 Displaying Information About an Image File -- 4.2.2 Reading an Image File -- 4.2.3 Data Classes and Data Conversions -- 4.2.4 Displaying the Contents of an Image -- 4.2.5 Exploring the Contents of an Image.PPN: PPN: 809400723Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE

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