Digtal image processing using MATLAB

In troduction
Preview
Background
What Is Digital Image Processing?
Background on MATLAB and the Image Processing Toolbox
Areas of Image Processing Covered in the Book
The Book Web Site
Notation
The MATLAB Working Environment
The MATLAB Desktop
Using the MATLAB Editor to Create M-Files
Getting Help
Saving and Retrieving a Work Session
How References Are Organized in the Book
Summary 11

Fundamentals
Preview
Digital Image RepresentatiOn
Coordinate Convenfions
Images as Matrices
Reading Images
Displaying Images
WritingImages
Data Classes
ImageTypes
Intensity Images
Binary Images
A Note on Terminology
Converting between Data Classes and Image Types
Converting between Data Classes
Converting between Image Classes and Types
Array Indexing
VectorIndexing
Matrix Indexing
Selecting Array Dimensions
Some Important Standard Arrays
Introduction to M-Function Programming
M-Files
Operators
Flow Control
Code Optimization
Interactive I/O
A Brief Introduction to Cell Arrays and Structures
Summary

Intensity Transformations and Spatial Filtering
Preview
Background
Intensity Transformation Functions
Function imad just
Logarithmic and Contrast-Stretching Transformations
Some Utility M-Functions for Intensity Transformations
Histogram Processing and Function Plotting
Generating and Plotting Image Histograms
Histogram Equalization
Histogram Matching （Specification）
Spatial Filtering
Linear Spatial Filtering
Nonlinear Spatial Filtering
Image Processing Toolbox Standard Spatial Filters
Linear Spatial Filters
Nonlinear Spatial Filters
Summary

Frequency Domain Processing
Preview
The 2-D Discrete Fourier Transform
Computing and Visualizing the 2-D DFT in MATLAB
Filtering in the Frequency Domain
Fundamental Concepts
Basic Steps in DFT Filtering
An M-function for Filtering in the Frequency Domain
Obtaining Frequency Domain Filters from Spatial Filters
Generating Filters Directly in the Frequency Domain
Creating Meshgrid Arrays for Use in Implementing Filters
in the Frequency Domain
Lowpass Frequency Domain Filters
Wireframe and Surface Plotting
Sharpening Frequency Domain Filters
Basic Highpass Filtering
High-Frequency Emphasis Filtering
Summary

Image Restoration
Preview
A Model of the Image Degradation/Restoration Process
Noise Models
Adding Noise with Function imnoise
Generating Spatial Random Noise with a Specified
Distribution
Periodic Noise
Estimating Noise Parameters
Restoration in the Presence of Noise OnlymSpatial Filtering
Spatial Noise Filters
Adaptive Spatial Filters
Periodic Noise Reduction by Frequency Domain Filtering
Modeling the Degradation Function
Direct Inverse Filtering
Wiener Filtering
Constrained Least Squares （Regularized） Filtering
Iterative Nonlinear Restoration Using the Lucy-Richardson
Algorithm
Blind Deconvolution
Geometric Transformations and Image Registration
Geometric Spatial Transformations
Applying Spatial Transformations to Images
Image Registration
Summary

Color Image Processing
Preview
Color Image Representation in MATLAB
RGB Images
Indexed Images
IPT Functions for Manipulating RGB and Indexed Images
Converting to Other Color Spaces
NTSC Color Space
The YCbCr Color Space
The HSV Color Space
The CMY and CMYK Color Spaces
The HSI Color Space
The Basics of Color Image Processing
Color Transformations
Spatial Filtering of Color Images
Color Image Smoothing
Color Image Sharpening
Working Directly in RGB Vector Space
Color Edge Detection Using the Gradient
Image Segmentation in RGB Vector Space
Summary

Wavelets
Preview
Background
The Fast Wavelet Transform
FWTs Using the Wavelet Toolbox
FWTs without the Wavelet Toolbox
Working with Wavelet Decomposition Structures
Editing Wavelet Decomposition Coefficients without
the Wavelet Toolbox
Displaying Wavelet Decomposition Coefficients
The Inverse Fast Wavelet Transform
Wavelets in Image Processing
Summary

Image Compression
Preview
Background
Coding Redundancy
Huffman Codes
Huffman Encoding
Huffman Decoding
Interpixel Redundancy
Psychovisual Redundancy
JPEG Compression
JPEG
JPEG 2000
Summary

Morphological Image Processing
Preview
Preliminaries
Some Basic Concepts from Set Theory
Binary Images, Sets, and Logical Operators
Dilation and Erosion
Dilation
Structuring Element Decomposition
The strel Function
Erosion
……
Image Segmentation
Representation and Dexcription
Object Recognition
Appendix A Function Summary
Appendix B ICE and MATLAB Graphical User Interfaces
Appendix C M-Functions
Bibliography
Index