Variational methods in image processing /
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computation...
Clasificación: | Libro Electrónico |
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Autores principales: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL :
CRC Press,
[2016]
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Colección: | Chapman & Hall/CRC mathematical and computational imaging sciences.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Chapter 1 Introduction and Book Overview
- chapter 2 Mathematical Background
- chapter 3 Variational Image Restoration Models
- chapter 4 Nonlocal Variational Methods in Image Restoration
- chapter 5 Image Decomposition into Cartoon and Texture
- chapter 6 Mumford and Shah Functional for Image Segmentation
- chapter 7 Phase-Field Approximations to Mumford and Shah Problem
- chapter 8 Region-Based Variational Active Contours
- chapter 9 Edge-Based Variational Snakes and Active Contours
- chapter 10 Nonlocal Mumford-Shah and Ambrosio-Tortorelli Variational Models for Color Image Restoration
- chapter 11 A Combined Segmentation and Registration Variational Model
- chapter 12 Variational Image Registration Models
- chapter 13 Piecewise-Constant Binary Model for Electrical Impedance Tomography
- chapter 14 Additive and Multiplicative Piecewise-Smooth Segmentation Models in a Functional Minimization Approach
- chapter 15 Numerical Methods for p-Harmonic Flows and Applications to Image Processing.