The Image Processing Handbook, 5th Edition

832  ISBN 9780849372544      £91.00

• A new chapter on the human visual process that explains which visual cues elicit a response from the viewer
• Description of the latest hardware and software for image acquisition and printing, reflecting the proliferation of the digital camera
• New material on multichannel images, including a major section on principal components analysis
• Expanded sections on deconvolution, extended dynamic range images, and image enlargement and interpolation
• More than 600 new and revised figures and illustrations for a total of more than 2000 illustrations
• 20% more references to the most up-to-date literature

About the 4th edition

• Reflects the dramatic technological advance of the last few years
• Puts even more emphasis on image measurement along with processing
• Contains new and better images, including many from biological applications
• Includes a new chapter on feature classification and identification, comparison of expert systems, fuzzy logic, learning methods, etc.

First published in 1992, The Image Processing Handbook not only set the standard for professional references in this field, but also provided the first text truly accessible to undergraduate students and non-specialists. Each subsequent edition has reflected the continuing rapid advances in image processing, and the fourth edition is no exception. In fact, its broader scope, increased depth, and logical presentation make it, more than ever, a powerful teaching tool, essential reference, and handy companion for both new and experienced image processors and analysts.

Contents

INTRODUCTION

ACQUIRING IMAGES

Human Reliance on Images for Information
Video Cameras
CCD Cameras
Camera Artifacts and Limitations
Color Cameras
Camera Resolution
CMOS Cameras
Focusing
Electronics and Bandwidth Limitations
Pixels
Grey Scale Resolution
Noise
High Depth Image
Color Imaging
Digital Camera Limitations
Color Spaces
Color Correction
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
Storage Media
Magnetic Recording
Databases for Images
Browsing and Thumbnails
Lossless Coding
Reduced Color Palettes
JPEG Compression
Wavelet Compression
Fractal Compression
Digital Movies

CORRECTING IMAGING DEFECTS
Contrast Expansion
Noisy Images
Neighborhood Averaging
Neighborhood Ranking
Other Neighborhood Noise Reduction Methods
Defect Removal, Maximum Entropy and Maximum Likelihood
Nonuniform Illumination
Fitting a Background Function
Rank leveling
Color Shading
Non-Planar Views
Computer Graphics
Geometrical Distortion
Alignment
Interpolation
Morphing

IMAGE ENHANCEMENT (PROCESSING IN THE SPATIAL DOMAIN)
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
What Frequency Space is All About
The Fourier Transform
Fourier Transforms of Real Functions
Frequencies and orientations
Measuring Images in the Frequency Domain
Orientation and Spacing
Preferred Orientation
Texture and Fractals
Filtering Images
Isolating Periodic Noise
Masks and Filters
Selection of Periodic Information
Convolution and Correlation
Fundamentals of Convolution
Imaging System Characteristics
Noise and Wiener Deconvolution
Motion blur
Template Matching and Correlation
Autocorrelation
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
Morphology Neighborhood Parameters
Examples of Use
The Custer
Euclidean Distance Map
Watershed Segmentation
Ultimate Eroded Points
Other EDM-Based Measurements
Skeletonization
Boundary Lines and Thickening
Combining Skeleton and EDM

GLOBAL IMAGE MEASUREMENTS
Global measurements and Stereology
Surface Area
ASTM Grain Size
Multiple Types of Surfaces
Length
Sampling Strategies
Determining Number
Curvature, Connectivity and the Disector
Anisotropy and Gradients
Size Distributions
Classical Stereology (Unfolding)

FEATURE-SPECIFIC MEASUREMENTS
Brightness Measurements
Determining Location
Orientation
Neighbor Relationships
Alignment
Counting Features
Special counting Procedures
Feature Size
Circles and Ellipses
Caliper Dimensions
Perimeter
Describing Shape
Fractal Dimension
Harmonic Analysis
Topology
Three-dimensional measurements

FEATURE RECOGNITION AND CLASSIFICATION
Template Matching and Cross-Correlation
Parametric Description
Decision Points
Multidimensional Classification
Learning Systems
kNN and Cluster Analysis
Expert Systems
Neural Nets
Syntactical models

3D IMAGE ACQUISITION
Volume Imaging vs. Sections
Basics of Reconstruction
Algebraic Reconstruction Methods
Maximum Entropy
Defects in Reconstructed Images
Beam Hardening
Imaging Geometries
Three-dimensional Tomography
High RESOLUTION Tomography
Sources of 3D Data
Serial Sections
Optical Sectioning
Sequential Removal
Stereo Measurement
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

IMAGING SURFACES
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

INDEX