Numerical analysis of geometry-driven diffusion equations

W.J. Niessen, B.M. Haar Romenij, ter, M.A. Viergever

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Samenvatting

This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm for vision, with an emphasis on the tutorial. It gives a thorough overview of current linear and nonlinear scale-space theory, presenting many viewpoints such as the variational approach, curve evolution and nonlinear diffusion equations. The book is meant for computer vision scientists and students, with a computer science, mathematics or physics background. Appendices explain the terminology. Many illustrated applications are given, e.g. in medical imaging, vector valued (or coupled) diffusion, general image enhancement (e.g. edge preserving noise suppression) and modeling of the human front-end visual system. Some examples are given to implement the methods in modern computer-algebra systems.
Originele taal-2Engels
TitelGeometry-driven diffusion in computer vision
RedacteurenB.M. Haar Romenij, ter
Plaats van productieDordrecht
UitgeverijKluwer Academic Publishers
Pagina's393-410
Aantal pagina's461
ISBN van geprinte versie0-7923-3087-0
StatusGepubliceerd - 1994

Publicatie series

NaamComputational imaging and vision. CIVI
Volume1
ISSN van geprinte versie1381-6446

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