Digital image processing : concepts, algorithms, and scientific applications /

Digital image processing : concepts, algorithms, and scientific applications /

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Bibliographic Details
Author / Creator:Jähne, Bernd, 1953-
Edition:2nd ed.
Imprint:Berlin ; New York : Springer-Verlag, c1993.
Description:xiii, 383 p. : ill. (some col.) ; 25 cm.
Language:English
Subject:Image processing -- Digital techniques
Image processing -- Digital techniques.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1562108
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ISBN:0387569413 (alk. paper : U.S.)
Notes:Includes bibliographical references and index.
Table of Contents:
  • I. Foundation
  • 1. Applications and Tools
  • 1.1. A Tool for Science and Technique
  • 1.2. Examples of Applications
  • 1.3. Hierarchy of Image Processing Operations
  • 1.4. Image Processing and Computer Graphics
  • 1.5. Cross-disciplinary Nature of Image Processing
  • 1.6. Human and Computer Vision
  • 1.7. Components of an Image Processing System
  • 1.8. Further Readings ç
  • 2. Image Representation
  • 2.1. Introduction
  • 2.2. Spatial Representation of Digital Images
  • 2.3. Wave Number Space and Fourier Transform
  • 2.4. Discrete Unitary Transforms ç
  • 2.5. Fast Algorithms for Unitary Transforms
  • 2.6. Further Readings ç
  • 3. Random Variables and Fields
  • 3.1. Introduction
  • 3.2. Random Variables
  • 3.3. Multiple Random Variables
  • 3.4. Probability Density Functions
  • 3.5. Stochastic Processes and Random Fields ç
  • 3.6. Further Readings ç
  • 4. Neighborhood Operations
  • 4.1. Basic Properties and Purpose
  • 4.2. Linear Shift-Invariant Filters å
  • 4.3. Recursive Filters ç
  • 4.4. Rank Value Filtering
  • 4.5. Further Readings ç
  • 5. Multiscale Representation
  • 5.1. Scale
  • 5.2. Scale Space å
  • 5.3. Multigrid Representations
  • 5.4. Further Readings ç
  • II. Image Formation and Preprocessing
  • 6. Quantitative Visualization
  • 6.1. Introduction
  • 6.2. Waves and Particles
  • 6.3. Radiometry, Photometry, Spectroscopy, and Color
  • 6.4. Interactions of Radiation with Matter ç
  • 6.5. Further Readings ç
  • 7. Image Formation
  • 7.1. Introduction
  • 7.2. World and Camera Coordinates
  • 7.3. Ideal Imaging: Perspective Projection å
  • 7.4. Real Imaging
  • 7.5. Radiometry of Imaging
  • 7.6. Linear System Theory of Imaging å
  • 7.7. Further Readings ç
  • 8. 3-D Imaging
  • 8.1. Basics
  • 8.2. Depth from Triangulation
  • 8.3. Depth from Time-of-Flight
  • 8.4. Depth from Phase: Interferometry
  • 8.5. Shape from Shading å
  • 8.6. Depth from Multiple Projections: Tomography
  • 8.7. Further Readings ç
  • 9. Digitization, Sampling, Quantization
  • 9.1. Definition and Effects of Digitization
  • 9.2. Image Formation, Sampling, Windowing
  • 9.3. Reconstruction from Samples å
  • 9.4. Quantization
  • 9.5. Further Readings ç
  • 10. Pixel Processing
  • 10.1. Introduction
  • 10.2. Homogeneous Point Operations
  • 10.3. Inhomogeneous Point Operations å
  • 10.4. Multichannel Point Operations ç
  • 10.5. Geometric Transformations
  • 10.6. Interpolation å
  • 10.7. Further Readings ç
  • III. Feature Extraction
  • 11. Averaging
  • 11.1. Introduction
  • 11.2. General Properties of Averaging Filters
  • 11.3. Box Filter
  • 11.4. Binomial Filter
  • 11.5. Filters as Networks ç
  • 11.6. Efficient Large-Scale Averaging ç
  • 11.7. Nonlinear Averaging
  • 11.8. Averaging in Multichannel Images ç
  • 11.9. Further Readings ç
  • 12. Edges
  • 12.1. Introduction
  • 12.2. General Properties of Edge Filters
  • 12.3. Gradient-Based Edge Detection å
  • 12.4. Edge Detection by Zero Crossings
  • 12.5. Regularized Edge Detection
  • 12.6. Edges in Multichannel Images ç
  • 12.7. Further Readings ç
  • 13. Simple Neighborhoods
  • 13.1. Introduction
  • 13.2. Properties of Simple Neighborhoods
  • 13.3. First-Order Tensor Representation å
  • 13.4. Local Wave Number and Phase ç
  • 13.5. Tensor Representation by Quadrature Filter Sets ç
  • 13.6. Further Readings ç
  • 14. Motion
  • 14.1. Introduction
  • 14.2. Basics
  • 14.3. First-Order Differential Methods ç
  • 14.4. Tensor Methods
  • 14.5. Second-Order Differential Methods ç
  • 14.6. Correlation Methods
  • 14.7. Phase Method ç
  • 14.8. Further Readings ç
  • 15. Texture
  • 15.1. Introduction
  • 15.2. First-Order Statistics
  • 15.3. Rotation and Scale Variant Texture Features
  • 15.4. Further Readings ç
  • IV. Image Analysis
  • 16. Segmentation
  • 16.1. Introduction
  • 16.2. Pixel-Based Segmentation
  • 16.3. Edge-Based Segmentation
  • 16.4. Region-Based Segmentation
  • 16.5. Model-Based Segmentation
  • 16.6. Further Readings ç
  • 17. Regularization and Modeling
  • 17.1. Unifying Local Analysis and Global Knowledge
  • 17.2. Purpose and Limits of Models
  • 17.3. Variational Image Modeling å
  • 17.4. Controlling Smoothness
  • 17.5. Diffusion Models
  • 17.6. Discrete Inverse Problems å
  • 17.7. Network Models ç
  • 17.8. Inverse Filtering
  • 17.9. Further Readings ç
  • 18. Morphology
  • 18.1. Introduction
  • 18.2. Neighborhood Operations on Binary Images
  • 18.3. General Properties
  • 18.4. Composite Morphological Operators
  • 18.5. Further Readings ç
  • 19. Shape Presentation and Analysis
  • 19.1. Introduction
  • 19.2. Representation of Shape
  • 19.3. Moment-Based Shape Features
  • 19.4. Fourier Descriptors
  • 19.5. Shape Parameters
  • 19.6. Further Readings ç
  • 20. Classification
  • 20.1. Introduction
  • 20.2. Feature Space
  • 20.3. Simple Classification Techniques
  • 20.4. Further Readings ç
  • V. Reference Part
  • A. Reference Material
  • B. Notation
  • Bibliography
  • Index
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