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Skeletonization : theory, methods and applications /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Diego, CA :
Academic Press,
2017.
|
| Colección: | Computer vision and pattern recognition series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_ocn989872325 | ||
| 003 | OCoLC | ||
| 005 | 20231120010201.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 170612s2017 cau o 000 0 eng d | ||
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| 019 | |a 990007172 | ||
| 020 | |a 9780081012925 |q (electronic bk.) | ||
| 020 | |a 0081012926 |q (electronic bk.) | ||
| 020 | |z 9780081012918 | ||
| 020 | |z 0081012918 | ||
| 035 | |a (OCoLC)989872325 |z (OCoLC)990007172 | ||
| 050 | 4 | |a RD684 | |
| 072 | 7 | |a MED |x 085000 |2 bisacsh | |
| 082 | 0 | 4 | |a 617.471 |2 23 |
| 245 | 0 | 0 | |a Skeletonization : |b theory, methods and applications / |c edited by Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja. |
| 264 | 1 | |a San Diego, CA : |b Academic Press, |c 2017. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer vision and pattern recognition series | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed June 13, 2017). | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | 8 | |a Annotation |b Written by the world's leading researchers in the field, this is a comprehensive reference on skeletonisation and presents theory, methods, algorithms and their evaluation, together with applications. Skeletonisation is used in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition, as well as medical imaging for pulmonary, cardiac, mammographic applications. Part I includes theories and methods unique to skeletonisation. Part II includes novel applications including skeleton-based characterisation of human trabecular bone micro-architecture, image registration and correspondence establishment in anatomical structures, skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems. | |
| 650 | 0 | |a Skeleton |x Imaging. | |
| 650 | 0 | |a Diagnostic imaging. | |
| 650 | 2 | |a Diagnostic Imaging |0 (DNLM)D003952 | |
| 650 | 6 | |a Squelette |0 (CaQQLa)201-0039762 |x Imagerie. |0 (CaQQLa)201-0377501 | |
| 650 | 6 | |a Imagerie pour le diagnostic. |0 (CaQQLa)201-0146124 | |
| 650 | 7 | |a MEDICAL |x Surgery |x General. |2 bisacsh | |
| 650 | 7 | |a Diagnostic imaging |2 fast |0 (OCoLC)fst00892354 | |
| 700 | 1 | |a Saha, Punam K., |e editor. | |
| 700 | 1 | |a Borgefors, Gunilla, |e author. | |
| 700 | 1 | |a Sanniti di Baja, Gabriella, |e author. | |
| 776 | 0 | 8 | |i Print version: |t Skeletonization. |d San Diego, CA : Academic Press, 2017 |z 0081012918 |z 9780081012918 |w (OCoLC)972240063 |
| 830 | 0 | |a Computer vision and pattern recognition series. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780081012918 |z Texto completo |