Digital Image Processing Using MATLAB 2nd edition by Rafael Gonzalez, Richard Woods, Steven Eddins ISBN 0982085400 9780982085400

Chapter 1 Introduction

1.1 Background 
1.2 What Is Digital Image Processing?
1.3 Background on MATLAB and the Image Processing Toolbox 
1.4 Areas of Image Processing Covered in the Book 
1.5 The Book Web Site 
1.6 Notation 
1.7 The MATLAB Working Environment

Chapter 2 Intensity Transformations and Spatial Filtering

2.1 Digital Image Representation 
2.1.1 Coordinate Conventions 
2.1.2 Images as Matrices 
2.2 Reading Images 
2.3 Displaying Images 
2.4 Writing Images 
2.5 Data Classes 
2.6 Image Types 
Chapter 3 Filtering in the Frequency Domain

3.1 Background 
3.2 Intensity Transformation Functions 
3.3 Histogram Processing and Function Plotting 
3.4 Spatial Filtering 
3.5 Image Processing Toolbox Standard Spatial Filters 

Chapter 4 Image Restoration and Reconstruction

4.1 The 2-D Discrete Fourier Transform 
4.2 Computing and Visualizing the 2-D DFT in MATLAB 
4.3 Filtering in the Frequency Domain 
4.4 Obtaining Frequency Domain Filters from Spatial Filters 
4.5 Generating Filters Directly in the Frequency Domain

Chapter 5 Geometric Transformations and Image Registration

5.1 A Model of the Image Degradation/Restoration Process 
5.2 Noise Models 
5.3 Restoration in the Presence of Noise Only—Spatial Filtering 
5.4 Periodic Noise Reduction by Frequency Domain Filtering 
5.5 Modeling the Degradation Function 
5.6 Direct Inverse Filtering 
5.7 Wiener Filtering 
5.8 Constrained Least Squares (Regularized) Filtering 
5.9 Iterative Nonlinear Restoration Using the Lucy-Richardson
Algorithm 
5.10 Blind Deconvolution 
5.11 Geometric Transformations and Image Registration 

Chapter 6 Color Image Processing

6.1 Color Image Representation in MATLAB 
6.2 Converting to Other Color Spaces 
6.3 The Basics of Color Image Processing 
6.4 Color Transformations

Chapter 7 Wavelets

7.1 Background 
7.2 The Fast Wavelet Transform 
7.3 Working with Wavelet Decomposition Structures 
7.4 The Inverse Fast Wavelet Transform 
7.5 Wavelets in Image Processing 

Chapter 8 Image Compression

8.1 Background 
8.2 Coding Redundancy 
8.3 Interpixel Redundancy 
8.4 Psychovisual Redundancy 
8.5 JPEG Compression

Chapter 9 Morphological Image Processing

9.1 Preliminaries 
9.2 Dilation and Erosion 
9.3 Combining Dilation and Erosion 
9.4 Labeling Connected Components 
9.5 Morphological Reconstruction 

Chapter 10 Image Segmentation

10.1 Point, Line, and Edge Detection 
10.2 Line Detection Using the Hough Transform 
10.3 Thresholding 
10.4 Region-Based Segmentation 
10.5 Segmentation Using the Watershed Transform 

Chapter 11 Representation and Description

11.1 Background 
11.2 Representation
11.3 Boundary Descriptors 
11.4 Regional Descriptors 
11.4.1 Function regionprops 
11.5 Using Principal Components for Description