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Record Nr. |
UNISA996465395603316 |
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Titolo |
Scale-Space Theory in Computer Vision [[electronic resource] ] : First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings / / edited by Bart ter Haar Romeny, Luc Florack, Jan Koenderink, Max Viergever |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
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ISBN |
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Edizione |
[1st ed. 1997.] |
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Descrizione fisica |
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1 online resource (XI, 373 p.) |
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Collana |
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Lecture Notes in Computer Science, , 0302-9743 ; ; 1252 |
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Disciplina |
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Soggetti |
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Optical data processing |
Signal processing |
Image processing |
Speech processing systems |
Pattern recognition |
Computer graphics |
Image Processing and Computer Vision |
Signal, Image and Speech Processing |
Pattern Recognition |
Computer Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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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 |
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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. |
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Sommario/riassunto |
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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 volume presents 21 revised full papers selected from a total of 41 submissions. Also included are 2 invited papers and 13 poster presentations. This book is the first comprehensive documentation of the application of Scale-Space techniques in computer vision and, in the broader context, in image processing and pattern recognition. |
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