Luminita A Vese, Carole Le Guyader

Variational Methods in Image Processing

• Gebundenes Buch

Produktbeschreibung

Filled with tables, illustrations, algorithms, and exercises, this self-contained textbook presents the principles, techniques, and applications of variational image processing. It focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. The book balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices. It includes the necessary mathematical background and covers the most important problems in image processing.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 386
• Erscheinungstermin: 18. Dezember 2015
• Englisch
• Abmessung: 236mm x 154mm x 30mm
• Gewicht: 726g
• ISBN-13: 9781439849736
• ISBN-10: 1439849730
• Artikelnr.: 33654163

Autorenporträt

Luminita A. Vese is a professor in the Department of Mathematics at UCLA. She is the author or co-author of numerous papers and book chapters on the calculus of variations, PDEs, numerical analysis, image analysis, curve evolution, computer vision, and free boundary problems. Carole Le Guyader is an associate professor in the mathematical and software engineering department at the National Institute of Applied Sciences of Rouen. She has authored or co-authored many papers on analysis and simulation, digital imaging mathematics and applications, and parallel computing.

Inhaltsangabe

Introduction and Book Overview. Mathematical Background. IMAGE RESTORATION:
Variational Image Restoration Models. Nonlocal Variational Methods in Image
Restoration. Image Decomposition into Cartoon and Texture. IMAGE
SEGMENTATION AND BOUNDARY DETECTION: The Mumford and Shah Functional for
Image Segmentation. Phase-Field Approximations to the Mumford and Shah
Problem. Region-Based Variational Active Contours. Edge-Based Variational
Snakes and Active Contours. APPLICATIONS: Nonlocal Mumford-Shah and
Ambrosio-Tortorelli Variational Models. A Combined Segmentation and
Registration Variational Model. Variational Image Registration Models. A
Piecewise-Constant Binary Model for Electrical Impedance Tomography.
Additive and Multiplicative Piecewise-Smooth Segmentation Models. Numerical
Methods for p ¿ harmonic Flows.