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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)

MARC

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264 1 |a Boca Raton, FL :  |b CRC Press,  |c [2016] 
264 4 |c ©2016 
300 |a 1 online resource (xxiv, 379) :  |b illustrations 
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490 1 |a Chapman & Hall/CRC mathematical and computational imaging sciences 
588 0 |a Online resource; title from title page (Safari, viewed December 14, 2015). 
504 |a Includes bibliographical references (pages 353-379). 
505 0 |a 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. 
520 3 |a 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 computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices. 
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830 0 |a Chapman & Hall/CRC mathematical and computational imaging sciences. 
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