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Digital Image Processing 3e(pb)2009 by Gonzalez
Digital Image Processing 3e(pb)2009 by Gonzalez
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  SPECIFICATION
DIGITAL IMAGE PROCESSING 3e(pb)2009
Author: GONZALEZ
ISBN: 9788131719343
Year: 2009
Publisher: PEARSON EDUCATION ASIA
Category: ELECTRICAL ENGINEERING
Edition: 3
Format: Paperback
Language: English
Pages: 954
 ABOUT THE TITLE
Digital image processing has been the leading textbook in its field for more than thirty years. As the 1977 and 1987 editions by Gonzalez and Wintz and the 1992 and 2002 editions by Gonzalez and Woods the present edition was prepared with students and instructors in mind. The changes and upgrades resulting in this edition are based on a survey involving faculty students and independent readers of the book in 134 institutions from 32 countries. The new material is timely highly readable and illustrated with numerous examples of practical significance. Areas of image processing covered include intensity transformations and spatial filtering the Fourier transform and filtering in the frequency domain image enhancement image restoration computed tomography fuzzy sets color image processing wavelets image and video compression morphological processing image segmentation and image description. Coverage concludes with a discussion on the fundamentals of object recognition.
New features:
• A revision of introductory concepts that provides readers with foundation material much earlier in the book than before
• A revised and updated discussion of intensity transformation spatial correlation convolution and their application to spatial filtering
• New discussion of fuzzy sets and their application to image processing
• A new chapter on the discrete Fourier transform and frequency domain processing
• New coverage of computerized tomography
• A major revision of the wavelets chapter
• A new chapter on data compression including new compression techniques digital video compression standards and watermarking
• New coverage of morphological reconstruction gray scale morphology and advanced morphological algorithms
• New coverage of the Marr-Haildreth and canny edge detection algorithms
• Expanded coverage of image thresholding
• New examples and illustrations involving over 400 new images and more than 200 new drawings and tables
• Expanded homework sets including over 80 new problems
• Updated bibliography
AUTHOR:
RAFAEL C GONZALEZ AND RICHARD E WOODS
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 TABLE OF CONTENTS
Preface
Acknowledgements
The Book Web Site
About The Authors
1. INTRODUCTION
1.1 What Is Digital Image Processing
1.2 The Origins Of Digital Image Processing
1.3 Examples Of Fields That Use Digital Image Processing
1.4 Fundamentals Steps In Digital Image Processing
1.5 Components Of An Image Processing System
Summary
References And Further Reading
2. DIGITAL IMAGE FUNDAMENTALS
2.1 Elements Of Visual Perception
2.2 Light And The Electromagnetic Spectrum
2.3 Image Sensing And Acquisition
2.4 Image Sampling And Quantization
2.5 Some Basic Relationships Between Pixels
2.6 An Introduction To The Mathematical Tools Used In Digital Image Processing
3. INTENSITY TRANSFORMATIONS AND SPATIAL FILTERING
3.1 Background
3.2 Some Basic Intensity Transformation Functions
3.3 Histogram Processing
3.4 Fundamentals Of Spatial Filtering
3.5 Smoothing Spatial Filters
3.6 Sharpening Spatial Filters
3.7 Combining Spatial Enhancement Methods
3.8 Using Fuzzy Techniques For Intensity Transformation And Spatial Filtering
Summary
Reference And Further Reading
Problems
4. FILTERING IN THE FREQUENCY DOMAIN
4.1 Background
4.2 Preliminary Concepts
4.3 Sampling And The Fourier Transform Of Sampled Functions
4.4 The Discrete Fourier Transform (DFT) Of One Variable
4.5 Extension To Functions Of Two Variables
4.6 Some Properties Of The 2-D Discrete Fourier Transform
4.7 The Basics Of Filtering In The Frequency Domain
4.8 Image Smoothing Using Frequency Domain Filters
4.9 Image Sharpening Using Frequency Domain Filters
4.10 Selective Filtering
4.11 Implementation
Summary
Reference And Further Reading
Problems
5. IMAGE RESTORATION AND RECONSTRUCTION
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 Linear, Position-Invariant Degradations
5.6 Estimating The Degradation Function
5.7 Inverse Filtering
5.8 Minimum Mean Square Error (Wiener) Filtering
5.9 Constrained Least Squares Filtering
5.10 Geometric Mean Filter
5.11 Image Reconstruction From Projections
Summary
Reference And Further Reading
Problems
6. COLOR IMAGE PROCESSING
6.1 Color Fundamentals
6.2 Color Models
6.3 Pseudocolor Image Processing
6.4 Basics Of Full-Color Image Processing
6.5 Color Transformations
6.6 Smoothing And Sharpening
6.7 Image Segmentation Based On Color
6.8 Noise In Color Images
6.9 Color Image Compression
Summary
Reference And Further Reading
Problems
7. WAVELETS AND MULTIRESOLUTION PROCESSING
7.1 Background
7.2 Multiresolution Expansions
7.3 Wavelet Transforms In One Dimension
7.4 The Fast Wavelet Transform
7.5 Wavelet Transforms In Two Dimensions
7.6 Wavelet Packets
Summary
Reference And Further Reading
Problems
8. IMAGE COMPRESSION
8.1 Fundamentals
8.2 Some Basic Compression Methods
8.3 Digital Image Watermarking
Summary
Reference And Further Reading
Problems
9. MORPHOLOGICAL IMAGE PROCESSING
9.1 Preliminaries
9.2 Erosion And Dilation
9.3 Opening And Closing
9.4 The Hit-Or-Miss Transformation
9.5 Some Basic Morphological Algorithms
9.6 Gray-Scale Morphology
Summary
Reference And Further Reading
Problems
10. IMAGE SEGMENTATION
10.1fundamentals
10.2 Point, Line And Edge Detection
10.3 Thresholding
10.4 Region-Based Segmentation
10.5 Segmentation Using Morphological Watersheds
10.6 The Use Of Motion In Segmentation
Summary
Reference And Further Reading
Problems
11. REPRESENTATION AND DESCRIPTION
11.1 Representation
11.2 Boundary Descriptors
11.3 Regional Descriptors
11.4 Use Of Principal Components For Description
11.5 Relational Description
Summary
Reference And Further Reading
Problems
12. OBJECT RECOGNITION
12.1 Patterns And Pattern Classes
12.2 Recognition Based On Decision-Theoretic Methods
12.3 Structural Methods
Summary
Reference And Further Reading
Problems
Appendix A
Bibliography
Index
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