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.
Author(s): Joachim Weickert (auth.), Bart ter Haar Romeny, Luc Florack, Jan Koenderink, Max Viergever (eds.)
Series: Lecture Notes in Computer Science 1252
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997
Language: English
Pages: 373
Tags: Image Processing and Computer Vision; Pattern Recognition; Computer Graphics
A review of nonlinear diffusion filtering....Pages 1-28
Scale space versus topographic map for natural images....Pages 29-49
On generalized entropies and scale-space....Pages 51-64
On the duality of scalar and density flows....Pages 65-76
Invertible orientation bundles on 2D scalar images....Pages 77-88
Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels....Pages 89-100
Generic events for the gradient squared with application to multi-scale segmentation....Pages 101-112
Linear spatio-temporal scale-space....Pages 113-127
On the handling of spatial and temporal scales in feature tracking....Pages 128-139
Following feature lines across scale....Pages 140-151
A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation....Pages 152-163
Supervised diffusion parameter selection for filtering SPECT brain images....Pages 164-175
Image loci are ridges in geometric spaces....Pages 176-187
Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images....Pages 188-199
Scale space analysis by stabilized inverse diffusion equations....Pages 200-211
Intrinsic scale space for images on surfaces: The geodesic curvature flow....Pages 212-223
Multi-spectral probabilistic diffusion using bayesian classification....Pages 224-235
From high energy physics to low level vision....Pages 236-247
Dynamic scale-space theories....Pages 248-259
Recursive separable schemes for nonlinear diffusion filters....Pages 260-271
Level set methods and the stereo problem....Pages 272-283
Reliable classification of chrysanthemum leaves through Curvature Scale Space....Pages 284-295
Multi-scale contour segmentation....Pages 296-307
Reconstruction of self-similar functions from scale-space....Pages 309-314
Multi-scale detection of characteristic figure structures using principal curvatures of image gray-level profile....Pages 315-318
A new framework for hierarchical segmentation using similarity analysis....Pages 319-322
Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion....Pages 323-326
Fast adaptive alternatives to nonlinear diffusion in image enhancement: Green's function approximators and nonlocal filters....Pages 327-332
A scale-space approach to shape similarity....Pages 333-336
Multi-scale active shape description....Pages 337-340
Scale-space filters and their robustness....Pages 341-344
Directional anisotropic diffusion applied to segmentation of vessels in 3D images....Pages 345-348
3D shape representation: Transforming polygons into voxels....Pages 349-352
Extraction of a structure feature from three-dimensional objects by scale-space analysis....Pages 353-356
Slowed anisotropic diffusion....Pages 357-360
Thin nets extraction using a multi-scale approach....Pages 361-364
