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Scale-space theory in computer vision : first international conference, Scale-Space'97, Utrecht, the Netherlands, July 2-4, 1997 : proceedings

Author: Bart M ter Haar Romeny
Publisher: Berlin ; New York : Springer, ©1997.
Series: Lecture notes in computer science, 1252.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This book constitutes the refereed proceedings of the First International Conference on Scale-Space Theory for Computer Vision, Scale-Space '97, held in Utrecht, The Netherlands, in July 1997.The  Read more...

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Genre/Form: Kongress
Kongreß
Conference papers and proceedings
Utrecht (1997)
Congresses
Congrès
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Bart M ter Haar Romeny
ISBN: 3540631674 9783540631675
OCLC Number: 37156007
Notes: Proceedings of the First International Conference on Scale-Space Theory in Computer Vision.
Description: ix, 364 pages : illustrations ; 24 cm.
Contents: 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.
Series Title: Lecture notes in computer science, 1252.
Other Titles: Scale-Space '97
Responsibility: Bart ter Haar Romeny [and others], eds.
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