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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vese, Luminita A. (Autor), Le Guyader, Carole (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2016]
Colección:Chapman & Hall/CRC mathematical and computational imaging sciences.
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.