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Combinatorial Image Analysis

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Cover of 'Combinatorial Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Recognition of Human Activities
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    Chapter 2 Complexity and Approximability Issues in Combinatorial Image Analysis
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    Chapter 3 Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging
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    Chapter 4 Computational Methods for the Prediction of Protein-Protein Interactions
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    Chapter 5 A Family of Topology–Preserving 3D Parallel 6–Subiteration Thinning Algorithms
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    Chapter 6 On Topology Preservation for Hexagonal Parallel Thinning Algorithms
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    Chapter 7 Accurate Curvature Estimation along Digital Contours with Maximal Digital Circular Arcs
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    Chapter 8 Combining Topological Maps, Multi-Label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model
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    Chapter 9 Construction of 3D Orthogonal Cover of a Digital Object
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    Chapter 10 Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval
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    Chapter 11 The Number of Khalimsky-Continuous Functions between Two Points
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    Chapter 12 Cup Products on Polyhedral Approximations of 3D Digital Images
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    Chapter 13 A Jordan Curve Theorem in the Digital Plane
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    Chapter 14 Maximal Planes and Multiscale Tangential Cover of 3D Digital Objects
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    Chapter 15 Recognition of Digital Hyperplanes and Level Layers with Forbidden Points
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    Chapter 16 A Simple and Flexible Mesh Parameterization Method
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    Chapter 17 Ellipse Constraints for Improved Wide-Baseline Feature Matching and Reconstruction
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    Chapter 18 Reconstruction of Concurrent Lines from Leaning Points
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    Chapter 19 Isoperimetrically Optimal Polygons in the Triangular Grid
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    Chapter 20 Dynamic Minimum Length Polygon
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    Chapter 21 On Some Classes of 2D Languages and Their Relations
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    Chapter 22 Petri Net Generating Hexagonal Arrays
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    Chapter 23 Binary Images, M  −Vectors, and Ambiguity
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    Chapter 24 Shuffle on Trajectories over Finite Array Languages
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    Chapter 25 Planar Configurations Induced by Exact Polyominoes
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    Chapter 26 Convex-Set Perimeter Estimation from Its Two Projections
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    Chapter 27 Solving the Two Color Problem: An Heuristic Algorithm
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    Chapter 28 Approximating Bicolored Images from Discrete Projections
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    Chapter 29 Discrete Q-Convex Sets Reconstruction from Discrete Point X-Rays
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    Chapter 30 Discrete Tomography Reconstruction Based on the Multi-well Potential
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    Chapter 31 An Optimized Algorithm for the Evaluation of Local Singularity Exponents in Digital Signals
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    Chapter 32 Community Detection for Hierarchical Image Segmentation
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    Chapter 33 BCIF: Another Algorithm for Lossless True Color Image Compression
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    Chapter 34 Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing
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    Chapter 35 Unsupervised Polygonal Reconstruction of Noisy Contours by a Discrete Irregular Approach
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    Chapter 36 Boar Spermatozoa Classification Using Longitudinal and Transversal Profiles (LTP) Descriptor in Digital Images
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    Chapter 37 Topology-Preserving Registration: A Solution via Graph Cuts
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    Chapter 38 Support Vector Machine Approach to Cardiac SPECT Diagnosis
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    Chapter 39 An Entropy-Based Technique for Nonrigid Medical Image Alignment
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    Chapter 40 Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques
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    Chapter 41 Nonlinear Dynamical Analysis of Magnetic Resonance Spectroscopy Data
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    Chapter 42 A Shared Parameter Model for Gesture and Sub-gesture Analysis
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Title
Combinatorial Image Analysis
Published by
Springer Berlin Heidelberg, May 2011
DOI 10.1007/978-3-642-21073-0
ISBNs
978-3-64-221072-3, 978-3-64-221073-0
Editors

Aggarwal, Jake K., Barneva, Reneta P., Brimkov, Valentin E., Koroutchev, Kostadin N., Korutcheva, Elka R., Aggarwal, Jake K., Barneva, Reneta P., Brimkov, Valentin E., Koroutchev, Kostadin N., Korutcheva, Elka R.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Earth and Planetary Sciences 2 33%
Computer Science 1 17%
Unknown 3 50%