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Band 1252

Scale-Space Theory in Computer Vision First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.06.1997

Abbildungen

XI, 373 p.

Herausgeber

Bart ter Haar Romeny + weitere

Verlag

Springer Berlin

Seitenzahl

373

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

1997

Sprache

Englisch

ISBN

978-3-540-63167-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.06.1997

Abbildungen

XI, 373 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

373

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

1997

Sprache

Englisch

ISBN

978-3-540-63167-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Scale-Space Theory in Computer Vision
  • Produktbild: Scale-Space Theory in Computer Vision
  • A review of nonlinear diffusion filtering.- Scale space versus topographic map for natural images.- On generalized entropies and scale-space.- On the duality of scalar and density flows.- Invertible orientation bundles on 2D scalar images.- Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels.- Generic events for the gradient squared with application to multi-scale segmentation.- Linear spatio-temporal scale-space.- On the handling of spatial and temporal scales in feature tracking.- Following feature lines across scale.- A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation.- Supervised diffusion parameter selection for filtering SPECT brain images.- Image loci are ridges in geometric spaces.- Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images.- Scale space analysis by stabilized inverse diffusion equations.- Intrinsic scale space for images on surfaces: The geodesic curvature flow.- Multi-spectral probabilistic diffusion using bayesian classification.- From high energy physics to low level vision.- Dynamic scale-space theories.- Recursive separable schemes for nonlinear diffusion filters.- Level set methods and the stereo problem.- Reliable classification of chrysanthemum leaves through Curvature Scale Space.- Multi-scale contour segmentation.- Reconstruction of self-similar functions from scale-space.- Multi-scale detection of characteristic figure structures using principal curvatures of image gray-level profile.- A new framework for hierarchical segmentation using similarity analysis.- Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion.- Fast adaptive alternatives to nonlinear diffusion in image enhancement: Green's function approximators and nonlocal filters.- A scale-space approach to shape similarity.- Multi-scale active shape description.- Scale-space filters and their robustness.- Directional anisotropic diffusion applied to segmentation of vessels in 3D images.- 3D shape representation: Transforming polygons into voxels.- Extraction of a structure feature from three-dimensional objects by scale-space analysis.- Slowed anisotropic diffusion.- Thin nets extraction using a multi-scale approach.