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Geometry, Morphology and Computational Imaging. - Asano, Tetsuo, Reinhard Klette and Christian Ronse
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Asano, Tetsuo, Reinhard Klette and Christian Ronse:

Geometry, Morphology and Computational Imaging. - Paperback

2003, ISBN: 9783540009160

Softcover Remittende, XII, 437 p. Also available online. About this book: This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical … More...

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Geometry, Morphology and Computational Imaging. - Tetsuo Asano
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Tetsuo Asano:

Geometry, Morphology and Computational Imaging. - Paperback

2003, ISBN: 3540009167

[EAN: 9783540009160], [SC: 4.0], [PU: Springer Verlag], IMAGE PROCESSING; COMPUTER VISION; VISION ALGORITHMS; DISCRETE DIGITIZATION; FEATURE EXTRACTION; VISUALISZATION; ANALYSIS; GEOMETRI… More...

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Geometry, Morphology and Computational Imaging. - Tetsuo Asano
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Tetsuo Asano:
Geometry, Morphology and Computational Imaging. - Paperback

2003

ISBN: 3540009167

[EAN: 9783540009160], [PU: Springer Verlag], IMAGE PROCESSING; COMPUTER VISION; VISION ALGORITHMS; DISCRETE DIGITIZATION; FEATURE EXTRACTION; VISUALISZATION; ANALYSIS; GEOMETRIC COMPUTATI… More...

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Geometry, Morphology and Computational Imaging. - Tetsuo Asano
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Tetsuo Asano:
Geometry, Morphology and Computational Imaging. - Paperback

2003, ISBN: 3540009167

[EAN: 9783540009160], [PU: Springer Verlag], IMAGE PROCESSING; COMPUTER VISION; VISION ALGORITHMS; DISCRETE DIGITIZATION; FEATURE EXTRACTION; VISUALISZATION; ANALYSIS; GEOMETRIC COMPUTATI… More...

Shipping costs: EUR 4.00 CSG Onlinebuch GMBH, Darmstadt, Germany [85260580] [Rating: 5 (von 5)]
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Geometry, Morphology, and Computational Imaging
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Geometry, Morphology, and Computational Imaging - new book

2002, ISBN: 9783540009160

This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April … More...

Nr. 978-3-540-00916-0. Shipping costs:Worldwide free shipping, , plus shipping costs. (EUR 0.00)
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Geometry, Morphology, and Computational Imaging
Author:
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ISBN:

9783540009160


This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002.The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

Details of the book - Geometry, Morphology, and Computational Imaging


EAN (ISBN-13): 9783540009160
ISBN (ISBN-10): 3540009167
Hardcover
Paperback
Publishing year: 2003
Publisher: Springer Berlin
456 Pages
Weight: 0,684 kg
Language: eng/Englisch

Book in our database since 2007-06-07T08:42:38+01:00 (London)
Detail page last modified on 2023-08-14T02:59:20+01:00 (London)
ISBN/EAN: 9783540009160

ISBN - alternate spelling:
3-540-00916-7, 978-3-540-00916-0
Alternate spelling and related search-keywords:
Book author: klett, reinhard klette, asano, ronse
Book title: foundations measurement, morphology, computer vision, 2002 band, theoretical computer science, computational vision, vision papers, the foundations geometry

Information from Publisher

Author: Tetsuo Asano; Reinhard Klette; Christian Ronse
Title: Lecture Notes in Computer Science; Geometry, Morphology, and Computational Imaging - 11th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, April 7-12, 2002, Revised Papers
Publisher: Springer; Springer Berlin
446 Pages
Publishing year: 2003-04-08
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 446 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; 3D; Computer Vision; Optical flow; Textur; computed tomography (CT); discrete digitization; feature extraction; image analysis; image processing; mathematical morphology; scene analysis; topological structure; topology; vision algorithms; visualiszation; Computer Vision; Computer Graphics; Grafikprogrammierung; EA

Flat Morphological Operators on Arbitrary Power Lattices.- Quantification of the Spatial Distribution of Line Segments with Applications to CAD of Chest X-Ray CT Images.- Fan Clouds - An Alternative to Meshes.- Combinatorial and Geometric Problems Related to Digital Halftoning.- All Points Considered: A Maximum Likelihood Method for Motion Recovery.- Distance Map Based Enhancement for Interpolated Images.- Multigrid Convergence and Surface Area Estimation.- Geometric Structure and Randomness in Texture Analysis and Synthesis.- Morphological Texture Analysis Using Optimization of Structuring Elements.- Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology.- A New Class of Morphological Pyramids for Multiresolution Image Analysis.- Root Images of Median Filters — Semi-topological Approach.- Medial Set, Boundary, and Topology of Random Point Sets.- Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow.- Hyperfigures and Their Interpretations.- Polygon Decomposition Based on the Straight Line Skeleton.- Reestablishing Consistency of Uncertain Geometric Relations in Digital Images.- Inverse Quantization for Resolution Conversion.- Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization.- Deriving Topological Representations from Edge Images.- Calibration of Panoramic Cameras Using 3D Scene Information.- Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework.- From Digital Plane Segmentation to Polyhedral Representation.- Lines as the Fundamental Unit of Vision.- Topological Analysis and Characterization of Discrete Scalar Fields.- External versus Internal Parameterizations for Lengths of Curves with Nonuniform Samplings.-Denoising Images: Non-linear Leap-Frog for Shape and Light-Source Recovery.

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