Microscope Image Processing | by Qiang Wu, Fatima Merchant and Kenneth Castleman | ISBN: 9780123725783. Imaging Technology. Optical Imaging. Image Digitization. Image Enhancement. Wavelet Image Processing. Fluorescence Imaging Techniques. Microscopy Image Management
Microscope Image Processing
by Qiang Wu, Fatima Merchant and Kenneth Castleman
ISBN:9780123725783
Providing a unique one-stop reference on the theory, technique, and applications, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms.
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Microscope Image Processing
Foreword
Overview
Reference
Preface
Chapter 1 – Introduction
1.1: The Microscope and Image Processing
1.2: Scope of This Book
1.3: Our Approach
1.4: The Challenge
1.5: Nomenclature
1.6: Summary of Important Points
References
Chapter 2 – Fundamentals of Microscopy
2.1: Origins of the Microscope
2.2: Optical Imaging
2.3: Diffraction-Limited Optical Systems
2.4: Incoherent Illumination
2.5: Coherent Illumination
2.6: Resolution
2.7: Aberration
2.8: Calibration
2.9: Summary of Important Points
References
Chapter 3 – Image Digitization
3.1: Introduction
3.2: Resolution
3.3: Sampling
3.4: Noise
3.5: Shading
3.6: Photometry
3.7: Geometric Distortion
3.8: Complete System Design
3.9: Summary of Important Points
References
Chapter 4 – Image Display
4.1: Introduction
4.2: Display Characteristics
4.3: Volatile Displays
4.4: Sampling for Display Purposes
4.5: Display Calibration
4.6: Summary of Important Points
References
Chapter 5 – Geometric Transformations
5.1: Introduction
5.2: Implementation
5.3: Gray-Level Interpolation
5.4: Spatial Transformation
5.5: Applications
5.6: Summary of Important Points
References
Chapter 6 – Image Enhancement
6.1: Introduction
6.2: Spatial Domain Methods
6.3: Fourier Transform Methods
6.4: Wavelet Transform Methods
6.5: Color Image Enhancement
6.6: Summary of Important Points
References
Chapter 7 – Wavelet Image Processing
7.1: Introduction
7.2: Wavelet Transforms
7.3: Multiresolution Analysis
7.4: Discrete Wavelet Transform
7.5: Two-Dimensional Discrete Wavelet Transform
7.6: Examples
7.7: Summary of Important Points
References
Chapter 8 – Morphological Image Processing
8.1: Introduction
8.2: Binary Morphology
8.3: Grayscale Operations
8.4: Watershed Segmentation
8.5: Summary of Important Points
References
Chapter 9 – Image Segmentation
9.1: Introduction
9.2: Region-Based Segmentation
9.3: Boundary-Based Segmentation
9.4: Summary of Important Points
References
Chapter 10 – Object Measurement
10.1: Introduction
10.2: Measures for Binary Objects
10.3: Distance Measures
10.4: Gray-Level Object Measures
10.5: Object Measurement Considerations
10.6: Summary of Important Points
References
Chapter 11 – Object Classification
11.1: Introduction
11.2: The Classification Process
11.3: The Single-Feature, Two-Class Case
11.4: The Three-Feature, Three-Class Case
11.5: Classifier Performance
11.6: Bayes Risk
11.7: Relationships among Bayes Classifiers
11.8: The Choice of a Classifier
11.9: Nonparametric Classifiers
11.10: Feature Selection
11.11: Neural Networks
11.12: Summary of Important Points
References
Chapter 12 – Fluorescence Imaging
12.1: Introduction
12.2: Basics of Fluorescence Imaging
12.3: Optics in Fluorescence Imaging
12.4: Limitations in Fluorescence Imaging
12.5: Image Corrections in Fluorescence Microscopy
12.6: Quantifying Fluorescence
12.7: Fluorescence Imaging Techniques
12.8: Summary of Important Points
References
Chapter 13 – Multispectral Imaging
13.1: Introduction
13.2: Principles of Multispectral Imaging
13.3: Multispectral Image Processing
13.4: Summary of Important Points
References
Chapter 14 – Three-Dimensional Imaging
14.1: Introduction
14.2: Image Acquisition
14.3: Three-Dimensional Image Data
14.4: Image Restoration and Deblurring
14.5: Image Fusion
14.6: Three-Dimensional Image Processing
14.7: Geometric Transformations
14.8: Pointwise Operations
14.9: Histogram Operations
14.10: Filtering
14.11: Morphological Operators
14.12: Segmentation
14.13: Comparing Three-Dimensional Images
14.14: Registration
14.15: Object Measurements in Three Dimensions
14.16: Three-Dimensional Image Display
14.17: Summary of Important Points
References
Chapter 15 – Time-Lapse Imaging
15.1: Introduction
15.2: Image Acquisition
15.3: Image Preprocessing
15.4: Image Analysis
15.5: Trajectory Analysis
15.6: Sample Algorithms
15.7: Summary of Important Points
References
Chapter 16 – Autofocusing
16.1: Introduction
16.2: Principles of Microscope Autofocusing
16.3: Multiresolution Autofocusing
16.4: Autofocusing for Scanning Microscopy
16.5: Extended Depth-of-Field Microscope Imaging
16.6: Examples
16.7: Summary of Important Points
References
Chapter 17 – Structured Illumination Imaging
17.1: Introduction
17.2: Linear SIM Instrumentation
17.3: The Process of Structured Illumination Imaging
17.4: Limitations of Optical Sectioning with SIM
17.5: Color Structured Illumination
17.6: Lateral Superresolution
17.7: Summary of Important Points
References
Chapter 18 – Image Data and Workflow Management
18.1: Introduction
18.2: Architecture of Microscopy Image/Data/Workflow Systems
18.3: Microscopy Image Management
18.4: Data Management
18.5: Workflow Management
18.6: Summary of Important Points
References
Glossary of Microscope Image Processing Terms
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