Digital Image Processing and Analysis : Human and Computer Vision Applications with CVIPtools, Second Edition

✍ Scribed by Umbaugh, Scott E

• Publisher: CRC Press
• Year: 2010
• Tongue: English
• Leaves: 980
• Edition: 2nd ed
• Category: Library

✦ Synopsis

Section I Introduction to Digital Image Processing and AnalysisDigital Image Processing and AnalysisOverviewImage Analysis and Computer VisionImage Processing and Human VisionKey PointsExercisesReferencesFurther ReadingComputer Imaging SystemsImaging Systems OverviewImage Formation and SensingCVIPtools SoftwareImage RepresentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection II Digital Image Analysis and Computer VisionIntroduction to Digital Image AnalysisIntroductionPreprocessingBinary Image AnalysisKey PointsExercisesSupplementary ExercisesReferencesFurther Read. Read more...

Abstract:

Digital image processing and analysis is a field that continues to experience rapid growth, with a diversity of applications ranging from areas such as space exploration to the entertainment industry. This title covers different areas of digital image processing and analysis, both human and computer vision applications. Read more...

✦ Table of Contents

Content: Preface
Acknowledgments
Author
SECTION I: Introduction to Digital Image Processing and Analysis
1. Digital Image Processing and Analysis
1.1 Overview
1.2 Image Analysis and Computer Vision
1.3 Image Processing and Human Vision
1.4 Key Points
Exercises
References
Further Reading
2. Computer Imaging Systems
2.1 Imaging Systems Overview
2.2 Image Formation and Sensing
2.3 CVIPtools Software
2.4 Image Representation
2.5 Key Points
Exercises
Supplementary Exercises
References
Further Reading
SECTION II: Digital Image Analysis and Computer Vision 3. Introduction to Digital Image Analysis3.1 Introduction
3.2 Preprocessing
3.3 Binary Image Analysis
3.4 Key Points
Exercises
Supplementary Exercises
References
Further Reading
4. Segmentation and Edge/Line Detection
4.1 Introduction and Overview
4.2 Edge/Line Detection
4.3 Segmentation
4.4 Key Points
Exercises
Supplementary Exercises
References
Further Reading
5. Discrete Transforms
5.1 Introduction and Overview
5.2 Fourier Transform
5.3 Discrete Cosine Transform
5.4 Discrete Walsh-Hadamard Transform
5.5 Discrete Haar Transform
5.6 Principal Components Transform 5.7 Filtering5.8 Discrete Wavelet Transform
5.9 Key Points
Exercises
Supplementary Exercises
References
Further Reading
6. Feature Analysis and Pattern Classification
6.1 Introduction and Overview
6.2 Feature Extraction
6.3 Feature Analysis
6.4 Pattern Classification
6.5 Key Points
Exercises
Supplementary Exercises
References
Further Reading
SECTION III: Digital Image Processing and Human Vision
7. Digital Image Processing and Visual Perception
7.1 Introduction and Overview
7.2 Human Visual Perception
7.3 Image Fidelity Criteria
7.4 Key Points
Exercises Supplementary ExercisesReferences
Further Reading
8. Image Enhancement
8.1 Introduction and Overview
8.2 Gray-Scale Modification
8.3 Image Sharpening
8.4 Image Smoothing
8.5 Key Points
Exercises
Supplementary Exercises
References
Further Reading
9. Image Restoration and Reconstruction
9.1 Introduction and Overview
9.2 Noise Models
9.3 Noise Removal Using Spatial Filters
9.4 Degradation Function
9.5 Frequency Domain Filters
9.6 Geometric Transforms
9.7 Image Reconstruction
9.8 Key Points
Exercises
Supplementary Exercises
References
Further Reading
10. Image Compression 10.1 Introduction and Overview10.2 Lossless Compression Methods
10.3 Lossy Compression Methods
10.4 Key Points
Exercises
Supplementary Exercises
References
Further Reading
SECTION IV: Programming and Application Development with CVIPtools
11. CVIPlab
11.1 Introduction to CVIPlab
11.2 Toolkits, Toolboxes, and Application Libraries
11.3 Compiling and Linking CVIPlab
11.4 Image Data and File Structures
11.5 CVIP Projects
12. Application Development
12.1 Introduction and Overview
12.2 CVIP Algorithm Test and Analysis Tool

✦ Subjects

Computer vision. CVIPtools. Image analysis. Image processing -- Digital techniques.