Coverart for item
The Resource Skeletonization : theory, methods and applications, edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja, (electronic book)

Skeletonization : theory, methods and applications, edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja, (electronic book)

Label
Skeletonization : theory, methods and applications
Title
Skeletonization
Title remainder
theory, methods and applications
Statement of responsibility
edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja
Contributor
Author
Editor
Subject
Language
eng
Member of
Cataloging source
N$T
Dewey number
617.471
Index
no index present
LC call number
RD684
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Saha, Punam K.
  • Borgefors, Gunilla
  • Sanniti di Baja, Gabriella
Series statement
Computer vision and pattern recognition series
http://library.link/vocab/subjectName
  • Skeleton
  • Diagnostic imaging
Label
Skeletonization : theory, methods and applications, edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Skeletonization; Copyright; Contents; Contributors; About the Editors; Preface; Part 1 Theory and Methods; 1 Skeletonization and its applications -- a review; 1.1 Introduction; 1.1.1 Basic Concepts; 1.1.2 Background; 1.2 Different Approaches of Skeletonization; 1.2.1 Geometric Approaches; 1.2.2 Curve Propagation Approaches; 1.2.3 Digital Approaches; Quench Points; 1.3 Topology Preservation; 1.4 Pruning; 1.5 Multiscale Skeletonization; 1.6 Parallelization; 1.6.1 Subiterative Parallelization Schemes; 1.6.2 Parallelization Using Minimal Nonsimple Sets
  • 1.6.3 Parallelization Using P-Simple Points1.7 Applications; 1.8 Performance Evaluation; 1.9 Conclusions; References; 2 Multiscale 2D medial axes and 3D surface skeletons by the image foresting transform; 2.1 Introduction; 2.2 Related Work; 2.2.1 Definitions; 2.2.2 Skeleton Regularization; 2.3 Proposed Method; 2.3.1 Multiscale Regularization-Strengths and Weaknesses; 2.3.2 Image Foresting Transform; 2.3.2.1 Single-Point Feature Transform; 2.3.2.2 Shortest-Path Length Computation; 2.3.3 Multiscale Skeletonization-Putting It All Together; 2.4 Comparative Analysis; 2.4.1 2D Medial Axes
  • 2.4.2 3D Medial Surfaces2.4.2.1 Global Comparison; 2.4.2.2 Detailed Comparison; 2.5 Conclusion; References; 3 Fuzzy skeleton and skeleton by influence zones: a review; 3.1 Introduction; 3.2 Distance-Based Approaches; 3.3 Morphological Approaches to Compute the Centers of Maximal Balls; 3.4 Morphological Thinning; 3.5 Fuzzy Skeleton of Influence Zones; 3.5.1 Definition Based on Fuzzy Dilations; 3.5.2 Definitions Based on Distances; 3.5.3 Illustrative Example (Reproduced from [8]); 3.6 Conclusion; References; 4 Unified part-patch segmentation of mesh shapes using surface skeletons
  • 4.1 Introduction4.2 Related Work; 4.2.1 Skeletonization; 4.2.2 Shape Segmentation; 4.2.2.1 Part-Based Segmentation; 4.2.2.2 Patch-Based Segmentation; 4.2.3 Summary of Challenges; 4.3 Method; 4.3.1 Preliminaries; 4.3.2 Regularized Surface Skeleton Computation; 4.3.3 Cut-Space Computation; 4.3.4 Cut-Space Partitioning; 4.3.4.1 Histogram Valley Detection; 4.3.4.2 Histogram-Based Cut Space Partitioning; 4.3.5 Partitioning the Full Surface Skeleton; 4.3.6 Partition Projection to Surface; 4.3.7 Part-Based Partition Refinement; 4.3.8 Unified (Part and Patch) Segmentation
  • 4.3.8.1 Patch-Type Segmentation Using Surface Skeletons4.3.8.2 Unification Desirable Properties; 4.3.8.3 Unification Method; 4.4 Results; 4.5 Discussion; 4.6 Conclusion; References; 5 Improving the visual aspect of the skeleton and simplifying its structure; 5.1 Introduction; 5.2 Preliminary Notions and Definitions; 5.3 Tools Improving the Visual Aspect of the Skeleton; 5.3.1 Zig-zag Straightening; 5.3.2 Fusion of Close Branch Points; 5.3.3 Pruning; 5.4 Experimental Results on the Improvement of Skeleton Visual Aspect; 5.5 Tools to Simplify Skeleton Structure; 5.5.1 Polygonal Approximation
Control code
ocn989872325
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Governing access note
SINGLE USER ACCESS. This e-book is restricted to one viewer at any one time. You may download a chapter or page range (subject to the same limits as for printing) as a permanent PDF image file for use on a computer or e-book reading device (including a Kindle)
Isbn
9780081012918
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
unknown
Sound
unknown sound
Specific material designation
remote
Label
Skeletonization : theory, methods and applications, edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja, (electronic book)
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Skeletonization; Copyright; Contents; Contributors; About the Editors; Preface; Part 1 Theory and Methods; 1 Skeletonization and its applications -- a review; 1.1 Introduction; 1.1.1 Basic Concepts; 1.1.2 Background; 1.2 Different Approaches of Skeletonization; 1.2.1 Geometric Approaches; 1.2.2 Curve Propagation Approaches; 1.2.3 Digital Approaches; Quench Points; 1.3 Topology Preservation; 1.4 Pruning; 1.5 Multiscale Skeletonization; 1.6 Parallelization; 1.6.1 Subiterative Parallelization Schemes; 1.6.2 Parallelization Using Minimal Nonsimple Sets
  • 1.6.3 Parallelization Using P-Simple Points1.7 Applications; 1.8 Performance Evaluation; 1.9 Conclusions; References; 2 Multiscale 2D medial axes and 3D surface skeletons by the image foresting transform; 2.1 Introduction; 2.2 Related Work; 2.2.1 Definitions; 2.2.2 Skeleton Regularization; 2.3 Proposed Method; 2.3.1 Multiscale Regularization-Strengths and Weaknesses; 2.3.2 Image Foresting Transform; 2.3.2.1 Single-Point Feature Transform; 2.3.2.2 Shortest-Path Length Computation; 2.3.3 Multiscale Skeletonization-Putting It All Together; 2.4 Comparative Analysis; 2.4.1 2D Medial Axes
  • 2.4.2 3D Medial Surfaces2.4.2.1 Global Comparison; 2.4.2.2 Detailed Comparison; 2.5 Conclusion; References; 3 Fuzzy skeleton and skeleton by influence zones: a review; 3.1 Introduction; 3.2 Distance-Based Approaches; 3.3 Morphological Approaches to Compute the Centers of Maximal Balls; 3.4 Morphological Thinning; 3.5 Fuzzy Skeleton of Influence Zones; 3.5.1 Definition Based on Fuzzy Dilations; 3.5.2 Definitions Based on Distances; 3.5.3 Illustrative Example (Reproduced from [8]); 3.6 Conclusion; References; 4 Unified part-patch segmentation of mesh shapes using surface skeletons
  • 4.1 Introduction4.2 Related Work; 4.2.1 Skeletonization; 4.2.2 Shape Segmentation; 4.2.2.1 Part-Based Segmentation; 4.2.2.2 Patch-Based Segmentation; 4.2.3 Summary of Challenges; 4.3 Method; 4.3.1 Preliminaries; 4.3.2 Regularized Surface Skeleton Computation; 4.3.3 Cut-Space Computation; 4.3.4 Cut-Space Partitioning; 4.3.4.1 Histogram Valley Detection; 4.3.4.2 Histogram-Based Cut Space Partitioning; 4.3.5 Partitioning the Full Surface Skeleton; 4.3.6 Partition Projection to Surface; 4.3.7 Part-Based Partition Refinement; 4.3.8 Unified (Part and Patch) Segmentation
  • 4.3.8.1 Patch-Type Segmentation Using Surface Skeletons4.3.8.2 Unification Desirable Properties; 4.3.8.3 Unification Method; 4.4 Results; 4.5 Discussion; 4.6 Conclusion; References; 5 Improving the visual aspect of the skeleton and simplifying its structure; 5.1 Introduction; 5.2 Preliminary Notions and Definitions; 5.3 Tools Improving the Visual Aspect of the Skeleton; 5.3.1 Zig-zag Straightening; 5.3.2 Fusion of Close Branch Points; 5.3.3 Pruning; 5.4 Experimental Results on the Improvement of Skeleton Visual Aspect; 5.5 Tools to Simplify Skeleton Structure; 5.5.1 Polygonal Approximation
Control code
ocn989872325
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Governing access note
SINGLE USER ACCESS. This e-book is restricted to one viewer at any one time. You may download a chapter or page range (subject to the same limits as for printing) as a permanent PDF image file for use on a computer or e-book reading device (including a Kindle)
Isbn
9780081012918
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
unknown
Sound
unknown sound
Specific material designation
remote

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