Advances in Electronics and Electron Physics
Academic Press
Published on 18. May 1994
350 pages
978-0-08-057754-8 (ISBN)
Description
Advances in Electronics and Electron Physics
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Peter W. Hawkes | Benjamin Kazan
Advances in Electronics and Electron Physics: v.88
Book
09/1997
Academic Press
€109.57
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Content
- Front Cover
- Advances in Electronics and Electron Physics, Volume 88
- Copyright Page
- Contents
- Contributors
- Preface
- Chapter 1. Integer Sinusoidal Transforms
- I. Introduction
- II. Sinusoidal Transforms
- III. Dyadic Symmetry and Walsh Transforms
- IV. Integer Sinusoidal Transforms
- V. Integer Cosine Transforms
- References
- Chapter 2. Data Structures for Image Processing in C
- I. Introduction
- II. Image Representations
- III. Previous Work
- IV. Standards for Image Processing
- V. Data Structure Design in C
- VI. Function Interface Design in C
- VII. Error Handling
- VIII. A Small Example
- IX. Implementation
- X. Conclusions
- References
- Chapter 3. Electron Crystallography of Organic Molecules
- I. Introduction
- II. Historical Background
- III. Methodology
- IV. Perturbations to Diffraction Intensities
- V. Applications
- VI. Conclusions
- Acknowledgments
- References
- Chapter 4. Fractal Signal Analysis Using Mathematical Morphology
- I. Introduction
- II. Morphological Signal Transformations
- III. Fractal Dimensions
- IV. Fractal Signals
- V. Measuring the Fractal Dimension of 1D Signals
- VI. Measuring the Fractal Dimension of 2D Signals
- VII. Modeling Fractal Images Using Iterated Function Systems
- VIII. Conclusions
- Acknowledgments
- References
- Chapter 5. Fuzzy Set Theoretic Tools for Image Analysis
- I. Introduction
- II. Uncertainties in a Recognition System and Relevance of Fuzzy Set Theory
- III. Image Ambiguity and Uncertainty Measures
- IV. Flexibility in Membership Functions
- V. Some Examples of Fuzzy Image-Processing Operations
- VI. Feature/Knowledge Acquisition, Matching, and Recognition
- VII. Fusion of Fuzzy Sets and Neural Networks: Neuro-Fuzzy Approach
- VIII. Use of Genetic Algorithms
- IX. Discussion
- Acknowledgments
- References
- Chapter 6. The Differentiating Filter Approach to Edge Detection
- I. Introduction
- II. Putting Things in Perspective
- III. Theory
- IV. Theory Extensions
- V. Postprocessing
- VI. Conclusions
- References
- Index
