数字图像处理概论
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作者： （美）麦克安德鲁 著，胡小平 缩编
出 版 社： 重庆大学出版社
出版时间： 2007-6-1字数：版次： 1页数： 333印刷时间： 2007/06/01开本：印次：纸张： 胶版纸I S B N ： 9787562439677包装： 平装内容简介
本书是美国Alasdair McAndrew所著Introduction to Digital Image Processing with MATLAB一书的缩编版。按照我国60学时的教学要求缩编而成。
缩编后的内容充实，涵盖了低层次图像处理（图像增强、图像恢复）和高层次图像处理（形态学、图像分割、图像表示与描述和图像压缩）的全部基础内容，习题和教材内容结合紧密，便于学生巩固所学知识。同时，缩编作者对原书部分难点进行了注释，帮助读者更好地理解所学内容。
本书可作为图像处理专业课程本科生双语教学教材。
目录
PREFACE
CHAPTER 1Introduction
1.1hnages and Pictures
1.2What is Image Processing?
1.3Image Acquisition and Samplin~
1.4Images and Digital Images
1.5Some Applications
1.6Aspects of Image Processing
1.7An hnage-Processing Task
1.8Types of Digital Images
1.9Image File Sizes
1.10Image Perception
Exercises
CHAPTER 2Images and MATLAB
2.1Grayscale Images
2.2RGB Images
2.3Indexed Color Images
2.4Data Types and Conversions
2.5Image Files and Formats
2.6Files in MATLAB
Exercises
CHAPTER 3Image Display
3.1Introduction
3.2Basics of Image Display
3.3The imshow Function
3.4Bit Planes
3.5Spatial Resolution
3.6Quantization mad Dithering
Exercises
CHAPTER 4Point Processing
4.1Introduction
4.2Arithmetic Operations
4.3Histograms
4.4Lookup Tables
Exerciser
CHAPTER 5Neighborhood Processing
5.1Introduction
5.2Notation
5.3Filtering in MATLAB
5.4Frequencies : Low-and High Pass Filters
5.5Gaussian Filters
5.6Edge Sharpening
5.7Nonlinear Filters
Exercises
CHAPTER 6Image Geometry
6.1Interpolation of Data
6.2hnage Interpolation
6.3General Interpolation
6.4Enlargement by Spatial Filtering
6.5Scaling Smaller
6.6Rotation
Exercises
CHAPTER 7The Fourier Transform
7.1Introduction
7.2The Two-Dimensional DFF
7.3Fourier Transforms in MATLAB
7.4Fourier Transforms of Images
7.5Filtering in the Frequency Domain
7.6Homomorphic Filtering
Exercises
CHAPTER 8Image Restoration
8.1Introduction
8.2Noise
8.3Cleaning Salt and Pepper Noise
8.4Cleaning Gaussian Noise
8.5Removal of Periodic Noise
8.6Inverse Filtering
8.7Wiener Filtering
Exercises
CHAPTER 9Image Segmentation
9.1Introduction
9.2Thresholding
9.3Applications of Thresholding
9.4Choosing an Appropriate Threshold Value
9.5Adaptive Thresholding
9.6Edge Detection
9.7Derivatives and Edges
9.8Second Derivatives
9.9The Canny Edge Detector
……
CHAPTER 10 Mathematical Morphology
CHAPTER 11 Image Topology
CHAPTER 12 Shapes and Boundaries
CHAPTER 13 Color Procassing
CHAPTER 14 Image Coding and Compressdion
BIBLIOGRAPHY
TERMIOLOGIES USED IN THE BOOK
