Handbook of Mathematical Methods in Imaging

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The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Scherzer, Otmar (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Mathematics.
Computer vision.
Signal processing.
Numerical analysis.
Radiology.
Applications of Mathematics.
Computer Vision.
Signal, Speech and Image Processing .
Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Part 1: Inverse Problems
  • Tomography
  • MR DTI
  • Hybrid Methods
  • Nonlinear Inverse Problems
  • EIT
  • Scattering
  • Sampling Methods
  • Expansion Methods
  • Regularization Methods for Ill-Posed Problems
  • Iterative Solution Methods
  • Wave Phenomena
  • Seismic
  • Radar
  • Ultrasound
  • Part 2: Signal and Image Processing
  • Morphological Image Processing
  • Learning, Classification, Data Mining
  • Partial Differential Equations
  • Variational Methods for Image Analysis
  • Level Set Methods Including Fast Marching Methods
  • Segmentation
  • Registration, Optical Flow
  • Duality and Convex Minimization
  • Spline, Statistics
  • Wavelets
  • Fourier Analysis
  • Compressed Sensing
  • Geometry Processing
  • Compression
  • Computational Geometry
  • Shape Spaces
  • PDEs and Variational Methods on Manifold
  • References
  • Subject Index.

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