Practical Image and Video Processing Using MATLAB

Transcription

1 Brochure More information from Practical Image and Video Processing Using MATLAB 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 to exploring 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. Supplemental resources for readers and instructors can be found at <a href="[external URL] target=" blank">[external URL] Contents: LIST OF FIGURES xxi LIST OF TABLES xxxix FOREWORD xli PREFACE xliii ACKNOWLEDGMENTS xlix PART I IMAGE PROCESSING 1 INTRODUCTION AND OVERVIEW Motivation / 3

2 1.2 Basic Concepts and Terminology / Examples of Typical Image Processing Operations / Components of a Digital Image Processing System / Machine Vision Systems / Resources / Problems / 18 2 IMAGE PROCESSING BASICS Digital Image Representation / Binary (1 Bit) Images / Gray Level (8 Bit) Images / Color Images / Compression / Image File Formats / Basic Terminology / Overview of Image Processing Operations / Global (Point) Operations / Neighborhood Oriented Operations / Operations Combining Multiple Images / Operations in a Transform Domain / 32 3 MATLAB BASICS Introduction to MATLAB / Basic Elements of MATLAB / Working Environment / Data Types / Array and Matrix Indexing in MATLAB / Standard Arrays / Command Line Operations / Programming Tools: Scripts and Functions / M Files / Operators / Important Variables and Constants / 42

3 3.3.4 Number Representation / Flow Control / Code Optimization / Input and Output / Graphics and Visualization / Tutorial 3.1: MATLAB a Guided Tour / Tutorial 3.2: MATLAB Data Structures / Tutorial 3.3: Programming in MATLAB / Problems / 59 4 THE IMAGE PROCESSING TOOLBOX AT A GLANCE The Image Processing Toolbox: an Overview / Essential Functions and Features / Displaying Information About an Image File / Reading an Image File / Data Classes and Data Conversions / Displaying the Contents of an Image / Exploring the Contents of an Image / Writing the Resulting Image onto a File / Tutorial 4.1: MATLAB Image Processing Toolbox a Guided Tour / Tutorial 4.2: Basic Image Manipulation / Problems / 80 5 IMAGE SENSING AND ACQUISITION Introduction / Light, Color, and Electromagnetic Spectrum / Light and Electromagnetic Spectrum / Types of Images / Light and Color Perception / Color Encoding and Representation / Image Acquisition / Image Sensors / Camera Optics / Image Digitization / 93

4 5.4.1 Sampling / Quantization / Spatial and Gray Level Resolution / Problems / ARITHMETIC AND LOGIC OPERATIONS Arithmetic Operations: Fundamentals and Applications / Addition / Subtraction / Multiplication and Division / Combining Several Arithmetic Operations / Logic Operations: Fundamentals and Applications / Tutorial 6.1: Arithmetic Operations / Tutorial 6.2: Logic Operations and Region of Interest Processing / Problems / GEOMETRIC OPERATIONS Introduction / Mapping and Affine Transformations / Interpolation Methods / The Need for Interpolation / A Simple Approach to Interpolation / Zero Order (Nearest Neighbor) Interpolation / First Order (Bilinear) Interpolation / Higher Order Interpolations / Geometric Operations Using MATLAB / Zooming, Shrinking, and Resizing / Translation / Rotation / Cropping / Flipping / Other Geometric Operations and Applications / Warping / 134

5 7.5.2 Nonlinear Image Transformations / Morphing / Seam Carving / Image Registration / Tutorial 7.1: Image Cropping, Resizing, Flipping, and Rotation / Tutorial 7.2: Spatial Transformations and Image Registration / Problems / GRAY LEVEL TRANSFORMATIONS Introduction / Overview of Gray level (Point) Transformations / Examples of Point Transformations / Contrast Manipulation / Negative / Power Law (Gamma) Transformations / Log Transformations / Piecewise Linear Transformations / Specifying the Transformation Function / Tutorial 8.1: Gray level Transformations / Problems / HISTOGRAM PROCESSING Image Histogram: Definition and Example / Computing Image Histograms / Interpreting Image Histograms / Histogram Equalization / Direct Histogram Specification / Other Histogram Modification Techniques / Histogram Sliding / Histogram Stretching / Histogram Shrinking / Tutorial 9.1: Image Histograms / Tutorial 9.2: Histogram Equalization and Specification / Tutorial 9.3: Other Histogram Modification Techniques / 195

6 9.10 Problems / NEIGHBORHOOD PROCESSING Neighborhood Processing / Convolution and Correlation / Convolution in the One Dimensional Domain / Convolution in the Two Dimensional Domain / Correlation / Dealing with Image Borders / Image Smoothing (Low pass Filters) / Mean Filter / Variations / Gaussian Blur Filter / Median and Other Nonlinear Filters / Image Sharpening (High pass Filters) / The Laplacian / Composite Laplacian Mask / Directional Difference Filters / Unsharp Masking / High Boost Filtering / Region of Interest Processing / Combining Spatial Enhancement Methods / Tutorial 10.1: Convolution and Correlation / Tutorial 10.2: Smoothing Filters in the Spatial Domain / Tutorial 10.3: Sharpening Filters in the Spatial Domain / Problems / FREQUENCY DOMAIN FILTERING Introduction / Fourier Transform: the Mathematical Foundation / Basic Concepts / The 2D Discrete Fourier Transform: Mathematical Formulation / Summary of Properties of the Fourier Transform / 241

7 Other Mathematical Transforms / Low pass Filtering / Ideal LPF / Gaussian LPF / Butterworth LPF / High pass Filtering / Ideal HPF / Gaussian HPF / Butterworth HPF / High Frequency Emphasis / Tutorial 11.1: 2D Fourier Transform / Tutorial 11.2: Low pass Filters in the Frequency Domain / Tutorial 11.3: High pass Filters in the Frequency Domain / Problems / IMAGE RESTORATION Modeling of the Image Degradation and Restoration Problem / Noise and Noise Models / Selected Noise Probability Density Functions / Noise Estimation / Noise Reduction Using Spatial domain Techniques / Mean Filters / Order Statistic Filters / Adaptive Filters / Noise Reduction Using Frequency domain Techniques / Periodic Noise / Bandreject Filter / Bandpass Filter / Notch Filter / Image Deblurring Techniques / Wiener Filtering / Tutorial 12.1: Noise Reduction Using Spatial domain Techniques / Problems / 296

8 13 MORPHOLOGICAL IMAGE PROCESSING Introduction / Fundamental Concepts and Operations / The Structuring Element / Dilation and Erosion / Dilation / Erosion / Compound Operations / Opening / Closing / Hit or Miss Transform / Morphological Filtering / Basic Morphological Algorithms / Boundary Extraction / Region Filling / Extraction and Labeling of Connected Components / Grayscale Morphology / Dilation and Erosion / Opening and Closing / Top Hat and Bottom Hat Transformations / Tutorial 13.1: Binary Morphological Image Processing / Tutorial 13.2: Basic Morphological Algorithms / Problems / EDGE DETECTION Formulation of the Problem / Basic Concepts / First order Derivative Edge Detection / Second order Derivative Edge Detection / Laplacian of Gaussian / The Canny Edge Detector / 347

9 14.6 Edge Linking and Boundary Detection / The Hough Transform / Tutorial 14.1: Edge Detection / Problems / IMAGE SEGMENTATION Introduction / Intensity based Segmentation / Image Thresholding / Global Thresholding / The Impact of Illumination and Noise on Thresholding / Local Thresholding / Region based Segmentation / Region Growing / Region Splitting and Merging / Watershed Segmentation / The Distance Transform / Tutorial 15.1: Image Thresholding / Problems / COLOR IMAGE PROCESSING The Psychophysics of Color / Basic Concepts / The CIE XYZ Chromaticity Diagram / Perceptually Uniform Color Spaces / ICC Profiles / Color Models / The RGB Color Model / The CMY and CMYK Color Models / The HSV Color Model / The YIQ (NTSC) Color Model / The YCbCr Color Model / Representation of Color Images in MATLAB / RGB Images / 402

10 Indexed Images / Pseudocolor Image Processing / Intensity Slicing / Gray Level to Color Transformations / Pseudocoloring in the Frequency Domain / Full color Image Processing / Color Transformations / Histogram Processing / Color Image Smoothing and Sharpening / Color Noise Reduction / Color Based Image Segmentation / Color Edge Detection / Tutorial 16.1: Pseudocolor Image Processing / Tutorial 16.2: Full color Image Processing / Problems / IMAGE COMPRESSION AND CODING Introduction / Basic Concepts / Redundancy / Image Encoding and Decoding Model / Lossless and Lossy Compression Techniques / Lossless Compression Techniques / Lossy Compression Techniques / Image Compression Standards / Binary Image Compression Standards / Continuous Tone Still Image Compression Standards / JPEG / JPEG 2000 / JPEG LS / Image Quality Measures / Subjective Quality Measurement / 438

11 Objective Quality Measurement / Tutorial 17.1: Image Compression / FEATURE EXTRACTION AND REPRESENTATION Introduction / Feature Vectors and Vector Spaces / Invariance and Robustness / Binary Object Features / Area / Centroid / Axis of Least Second Moment / Projections / Euler Number / Perimeter / Thinness Ratio / Eccentricity / Aspect Ratio / Moments / Boundary Descriptors / Chain Code, Freeman Code, and Shape Number / Signatures / Fourier Descriptors / Histogram based (Statistical) Features / Texture Features / Tutorial 18.1: Feature Extraction and Representation / Problems / VISUAL PATTERN RECOGNITION Introduction / Fundamentals / Design and Implementation of a Visual Pattern Classifier / Patterns and Pattern Classes / Data Preprocessing / Training and Test Sets / 480

12 Confusion Matrix / System Errors / Hit Rates, False Alarm Rates, and ROC Curves / Precision and Recall / Distance and Similarity Measures / Statistical Pattern Classification Techniques / Minimum Distance Classifier / k Nearest Neighbors Classifier / Bayesian Classifier / Tutorial 19.1: Pattern Classification / Problems / 497 PART II VIDEO PROCESSING 20 VIDEO FUNDAMENTALS Basic Concepts and Terminology / Monochrome Analog Video / Analog Video Raster / Blanking Intervals / Synchronization Signals / Spectral Content of Composite Monochrome Analog Video / Color in Video / Analog Video Standards / NTSC / PAL / SECAM / HDTV / Digital Video Basics / Advantages of Digital Video / Parameters of a Digital Video Sequence / The Audio Component / Analog to Digital Conversion / Color Representation and Chroma Subsampling / 520

13 20.8 Digital Video Formats and Standards / The Rec 601 Digital Video Format / The Common Intermediate Format / The Source Intermediate Format / Video Compression Techniques and Standards / Video Compression Standards, Codecs, and Containers / Video Processing in MATLAB / Reading Video Files / Processing Video Files / Playing Video Files / Writing Video Files / Tutorial 20.1: Basic Digital Video Manipulation in MATLAB / Tutorial 20.2: Working with YUV Video Data / Problems / VIDEO SAMPLING RATE AND STANDARDS CONVERSION Video Sampling / Sampling Rate Conversion / Standards Conversion / Deinterlacing / Conversion between PAL and NTSC Signals / Color Space Conversion / Aspect Ratio Conversion / :2 Pull Down / Tutorial 21.1: Line Down Conversion / Tutorial 21.2: Deinterlacing / Tutorial 21.3: NTSC to PAL Conversion / Tutorial 21.4: 3:2 Pull Down / Problems / DIGITAL VIDEO PROCESSING TECHNIQUES AND APPLICATIONS Fundamentals of Motion Estimation and Motion Compensation / General Methodologies in Motion Estimation / 564

14 Motion Representation / Motion Estimation Criteria / Optimization Methods / Motion Estimation Algorithms / Exhaustive Search Block Matching Algorithm / Fast Algorithms / Hierarchical Block Matching Algorithm / Phase Correlation Method / Video Enhancement and Noise Reduction / Noise Reduction in Video / Interframe Filtering Techniques / Case Study: Object Segmentation and Tracking in the Presence of Complex Background / Tutorial 22.1: Block based Motion Estimation / Tutorial 22.2: Intraframe and Interframe Filtering Techniques / Problems / 589 Appendix A: HUMAN VISUAL PERCEPTION 591 A.1 Introduction / 591 A.2 The Human Eye / 592 A.3 Characteristics of Human Vision / 596 A.3.1 Resolution, Viewing Distance, and Viewing Angle / 596 A.3.2 Detail and Sharpness Perception / 598 A.3.3 Optical Transfer Function and Modulation Transfer Function / 599 A.3.4 Brightness Perception / 600 A.3.5 Contrast Ratio and Contrast Sensitivity Function / 603 A.3.6 Perception of Motion / 605 A.3.7 Spatiotemporal Resolution and Frequency Response / 606 A.3.8 Masking / 608 A.4 Implications and Applications of Knowledge about the Human Visual System / 609 Appendix B: GUI DEVELOPMENT 611 B.1 Introduction / 611 B.2 GUI File Structure / 611 B.3 Passing System Control / 613

15 B.4 The UserData Object / 615 B.5 A Working GUI Demo / 616 B.6 Concluding Remarks / 618 REFERENCES 619 INDEX 627 Ordering: Order Online - Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland.

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