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Scale-Space Theory in Computer Vision : First International Conference, Scale-Space '97, Utrecht, the Netherlands, July 2 - 4, 1997, Proceedings - Romeny Bart Ter Haar

Scale-Space Theory in Computer Vision

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

By: Romeny Bart Ter Haar (Editor), Luc Florack (Editor), Jan J. Koenderink (Editor), Max Viergever (Editor)

Paperback Published: 18th June 1997
ISBN: 9783540631675
Number Of Pages: 373

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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.

A review of nonlinear diffusion filteringp. 3
Scale-space versus topographic map for natural imagesp. 29
On generalized entropies and scale-spacep. 53
On the duality of scalar and density flowsp. 65
Invertible orientation bundles on 2D scalar imagesp. 77
Generating stable structure using scale-space analysis with non-uniform Gaussian kernelsp. 89
Generic events for the gradient squared with application to multi-scale segmentationp. 101
Linear spatio-temporal scale-spacep. 113
On the handling of spatial and temporal scales in feature trackingp. 128
Following feature lines across scalep. 140
A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentationp. 152
Supervised diffusion parameter selection for filtering SPECT brain imagesp. 164
Image loci are ridges in geometric spacesp. 176
Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference imagesp. 188
Scale space analysis by stabilized inverse diffusion equationsp. 200
Intrinsic scale space for images on surfaces: The geodesic curvature flowp. 212
Multi-spectral probabilistic diffusion using Bayesian classificationp. 224
From high energy physics to low level visionp. 236
Dynamic scale-space theoriesp. 248
Recursive separable schemes for nonlinear diffusion filtersp. 260
Level set methods and the stereo problemp. 272
Reliable classification of chrysanthemum leaves through curvature scale spacep. 284
Multi-scale contour segmentationp. 296
Reconstruction of self-semilar functions from scale-spacep. 311
Multi-scale detection of characteristic figure structures using principal curvatures of image gray-level profilep. 315
A new framework for hierarchical segmentation using similarity analysisp. 319
Robust anisotropic diffusion: connections between robust statistics, line processing, and anisotropic diffusionp. 323
Fast adaptive alternatives to nonlinear diffusion in image enhancement: Green's function approximators and nonlocal filtersp. 327
A scale-space approach to shape similarityp. 333
Multi-scale active shape descriptionp. 337
Scale-space filters and their robustnessp. 341
Directional anisotropic diffusion applied to segmentation of vessels in 3D imagesp. 345
3D shape representation: transforming polygons into voxelsp. 349
Extraction of a structure feature from three-dimensional objects by scale-space analysisp. 353
Slowed anisotropic diffusionp. 357
Thin nets extraction using a multi-scale approachp. 361
Author Indexp. 365
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540631675
ISBN-10: 3540631674
Series: Advances in Polymer Science, : Book Vol. 125
Audience: General
Format: Paperback
Language: English
Number Of Pages: 373
Published: 18th June 1997
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.01
Weight (kg): 0.54