Numerical Geometry of Images

Theory, Algorithms, and Applications

Ron Kimmel

208 pages, parution le 17/12/2003

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Résumé

Numerical Geometry of Images examines computational methods and algorithms in image processing. It explores applications like shape from shading, color-image enhancement and segmentation, edge integration, offset curve computation, symmetry axis computation, path planning, minimal geodesic computation, and invariant signature calculation. In addition, it describes and utilizes tools from mathematical morphology, differential geometry, numerical analysis, and calculus of variations. Graduate students, professionals, and researchers with interests in computational geometry, image processing, computer graphics, and algorithms will find this new text / reference an indispensable source of insight of instruction.

Written for:
Graduate students, professionals

Short introduction to calculus of variations
Short introduction to differential geometry
Curve evolution theory and invariant signatures
The Osher-Sethian level-set method
The level-set method: numerical considerations
Mathematical morphology
Distance maps and skeletons
Fast marching methods
2D and 3D image segmentation
Geometric framework in image processing
Texture mapping, matching isometric sufaces, and 3D face recognition
Solutions to selected problems

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Ron Kimmel
Parution	17/12/2003
Nb. de pages	208
Format	18 x 24
Couverture	Relié
Poids	625g
Intérieur	Noir et Blanc
EAN13	9780387955629
ISBN13	978-0-387-95562-9