Scale-Space Theory in Computer Vision

First International Conference, Scale-Space'97 Utrecht, The Netherlands, July 2–4, 1997 Proceedings

ISBN: 978-3-540-63167-5 (Print) 978-3-540-69196-9 (Online)

Table of contents (36 chapters)

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    Book Chapter

    Pages 1-28

    A review of nonlinear diffusion filtering

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    Pages 29-49

    Scale space versus topographic map for natural images

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    Pages 51-64

    On generalized entropies and scale-space

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    Pages 65-76

    On the duality of scalar and density flows

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    Pages 77-88

    Invertible orientation bundles on 2D scalar images

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    Pages 89-100

    Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels

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    Pages 101-112

    Generic events for the gradient squared with application to multi-scale segmentation

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    Pages 113-127

    Linear spatio-temporal scale-space

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    Pages 128-139

    On the handling of spatial and temporal scales in feature tracking

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    Pages 140-151

    Following feature lines across scale

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    Pages 152-163

    A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation

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    Pages 164-175

    Supervised diffusion parameter selection for filtering SPECT brain images

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    Pages 176-187

    Image loci are ridges in geometric spaces

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    Pages 188-199

    Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images

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    Pages 200-211

    Scale space analysis by stabilized inverse diffusion equations

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    Pages 212-223

    Intrinsic scale space for images on surfaces: The geodesic curvature flow

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    Pages 224-235

    Multi-spectral probabilistic diffusion using bayesian classification

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    Pages 236-247

    From high energy physics to low level vision

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    Pages 248-259

    Dynamic scale-space theories

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    Pages 260-271

    Recursive separable schemes for nonlinear diffusion filters

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