Mathematical foundations of image processing and analysis volume 1
Filling a void in current literature, Mathematical Foundations of Image Processing and Analysis jointly addresses image processing and analysis, whereas most books on this topic solely focus on the processing aspects
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| Format: | Book |
| Language: | English |
| Published: |
London, UK
ISTE Ltd.
© 2014
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| Series: | Digital signal and image processing series
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| Subjects: | |
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Table of Contents:
- Introduction
- Elements of Mathematical Terminology
- Part 1 An Overview of Image Processing and Analysis (IPA)
- Chapter 1 Gray-Tone Images
- Chapter 2 Gray-Tone Image Processing and analysis
- Chapter 3 Binary Images
- Chapter 4 Binary Image Processing and Analysis
- Chapter 5 Key Concepts and Notions for IPA
- Chapter 6 Mathematical Imaging Frameworks
- Part 2 Basic Mathematical Reminders for Gray-Tone and Binary Image Processing and Analysis
- Chapter 7 Basic Reminders in Set Theory
- Chapter 8 Basic Reminders in Topology and Functional Anaysis
- Part 3 The Main Mathematical Notions for the Spatial and Tonal Domains
- Chapter 9 The Spatial Domain
- Chapter 10 The Tonal Domain
- Part 4 Ten Main Functional Frameworks for Gray Tone Images
- Chapter 11 The Algebraic and Order Functional Framework
- Chapter 12 The Morphological Functional Framework
- Chapter 13 The Integral Functional Framework
- Chapter 14 The Convolutional Functional Framework
- Chapter 15 The Differential Functional Framework
- Chapter 16 The Generalized Functional Framework
- Chapter 17 The Frequential Functional Framework
- Chapter 18 The Multiscale Functional Framework
- Chapter 19 The Variational Functional Framework
- Chapter 20 The Probabilistic Functional Framework