The Image Processing Handbook, Third Edition

Image Processing Handbook covers methods for two different purposes:

improving the visual appearance of images to a human viewer

preparing images for measurement of the features and structures present
The handbook presents an extensive collection of image processing tools, enabling the user of computer-based system to understand those methods provided in packaged software and to program additions needed for particular applications. Comparisons are presented of different algorithms that may be used for similar purposes, including a selection of representative pictures from light and electron microscopes as well as macroscopic, satellite, and astronomical images.

Developments in graphic information, covering the array of concepts and techniques in high-end imaging software, are detailed. With balanced, complete descriptions, the text outlines frequency space methods with extensive mathematical presentation and spatial domain processing - requiring only a modest technical background in mathematics or computers.

This handbook teaches by example: By seeing what various operations do to representative images, the reader will discover how and why to use them. Image Processing Handbook encourages the reader to use its information with a real source of images and a computer-based system as well as to freely experiment with different methods to determine the most appropriate for his or her particular needs.

To facilitate the learning process, Reindeer Games in Charlotte, NC offers The Image Processing Tool Kit - a CD-ROM containing more than 150 images and more than 150 Photoshop®-compatible plug-ins that implement the algorithms discussed.

This revision of the established standard acts as a singular resource for professionals in the medical, biological, and materials sciences as well as a range of engineering venues, including electrical and computer engineering, optical engineering, telecommunications, and artificial intelligence.

ACQUIRING IMAGES
Human Reliance on Images for Information
Using Video Cameras to Acquire Images
Electronics and Bandwidth Limitations
High Resolution Imaging
Color Imaging
Digital Cameras
Color Spaces
Color Displays
Image Types
Range Imaging
Multiple Images
Stereoscopy
Imaging Requirements
PRINTING AND STORAGE
Printing
Dots on Paper
Color Printing
Printing Hardware
Film Recorders
File Storage
Optical Storage Media
Magnetic Recording
Databases for Images
Browsing and Thumbnails
Lossless Coding
Color Palettes
Lossy Compression
Other Compression Methods
Digital Movies
CORRECTING IMAGING DEFECTS
Noisy Images
Neighborhood Averaging
Neighborhood Ranking
Other Neighborhood Noise Reduction Methods
Maximum Entropy
Contrast Expansion
Nonuniform Illumination
Fitting a Background Function
Rank Leveling
Color Shading
Non-Planar Views
Computer Graphics
Geometrical Distortion
Alignment
Morphing
IMAGE ENHANCEMENT
Contrast Manipulation
Histogram Equalization
Laplacian
Derivatives
The Sobel and Kirsch Operators
Rank Operations
Texture
Fractal Analysis
Implementation Notes
Image Math
Subtracting Images
Multiplication and Division
Processing Images in Frequency Space
Some Necessary Mathematical Preliminaries
Measuring Images in the Frequency Domain
Filtering Images
Convolution and Correlation
Conclusion
SEGMENTATION AND THRESHOLDING
Thresholding
Multiband Images
Two-Dimensional Thresholds
Multiband Thresholding
Thresholding from Texture
Multiple Thresholding Criteria
Textural Orientation
Accuracy and Reproducibility
Including Position Information
Selective Histograms
Boundary Lines
Contours
Image Representation
Other Segmentation Methods
The General Classification Problem
PROCESSING BINARY IMAGES
Boolean Operations
Combining Boolean Operations
Masks
From Pixels to Features
Boolean Logic with Features
Selecting Features by Location
Double Thresholding
Erosion and Dilation
Opening and Closing
Isotropy
Measurements Using Erosion and Dilation
Extension to Grey-Scale Images
The Coefficient and Depth Parameters
Examples of Use
The Custer
Skeletonization
Boundary Lines and Thickening
Euclidean Distance Map
Watershed Segmentation
Ultimate Eroded Points
Fractal Dimension Measurement
Medial Axis Transform
Cluster Analysis
IMAGE MEASUREMENTS
Brightness Measurements
Determining Location
Orientation
Neighbor Relationships
Alignment
Counting Features
Special Counting Procedures
Feature Size
Caliper Dimensions
Perimeter
Ellipse Fitting
Describing Shape
Fractal Dimension
Harmonic Analysis
Topology
Feature Identification
Three-Dimensional Measurements
3D IMAGE ACQUISITION
Volume Imaging versus Sections
Basics of Reconstruction
Algebraic Reconstruction Methods
Maximum Entropy
Defects in Reconstructed Images
Imaging Geometries
Three-Dimensional Tomography
High Resolution Tomography
3D IMAGE VISUALIZATION
Sources of 3D Data
Serial Sections
Optical Sectioning
Sequential Removal
Stereo
3D Data Sets
Slicing the Data Set
Arbitrary Section Planes
The Use of Color
Volumetric Display
Stereo Viewing
Special Display Hardware
Ray Tracing
Reflection
Surfaces
Multiply Connected Surfaces
Image Processing in 3D
Measurements on 3D Images
Conclusion
SURFACE IMAGING
Producing Surfaces
Devices That Image Surfaces by Physical Contact
Noncontacting Measurements
Microscopy of Surfaces
Surface Composition Imaging
Processing of Range Images
Processing of Composition Maps
Data Presentation and Visualization
Rendering and Visualization
Analysis of Surface Data
Profile Measurements
The Birmingham Measurement Suite
New Approaches - Topographic Analysis and Fractal Dimensions
References
Index