{"product_id":"3-d-image-processing-algorithms-hardback-9780471377368","title":"3-D Image Processing Algorithms (Hardback) 9780471377368","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003e3-D Image Processing Algorithms\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eN. Nikolaidis (Author), Ioannis Pitas (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471377368, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 November 2000\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e192 pages\u003cbr\u003e24.6 x 16.2 x 1.8 cm, 0.447 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"Explains numerous 3-D image processing, analysis, and visualization techniques, such as volume filtering, skeletonization and registration, and visualization.\" (SciTech Book News Vol. 25, No. 2 June 2001)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eDreidimensionale Abbildungsverfahren gehören mittlerweile zu den Standardanwendungen in vielen naturwissenschaftlichen Bereichen - von der Medizin bis zur Erdbebenforschung. Die Autoren - führende Forscher auf diesem Gebiet - erläutern hier detailliert die aktuellsten und gängigsten 3-D Bildverarbeitungstechniken. Die beiliegende CD-ROM enthält eine Studentenversion des 3D-Softwarepakets EIKONA. (11\/00)\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eForeword V\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePreface XIII\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eConventions and Notation XV\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Preliminaries 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 General Notation 11\u003c\/p\u003e \u003cp\u003e2.1.1 Points and Sets in Euclidean Spaces 11\u003c\/p\u003e \u003cp\u003e2.1.2 Curvatures 14\u003c\/p\u003e \u003cp\u003e2.1.3 Measures and Measurable Spaces 17\u003c\/p\u003e \u003cp\u003e2.2 Characteristics of Sets 18\u003c\/p\u003e \u003cp\u003e2.2.1 The Euler Number and the Integral of Gaussian Curvature 18\u003c\/p\u003e \u003cp\u003e2.2.2 The Mean Width and the Integral of the Mean Curvature 20\u003c\/p\u003e \u003cp\u003e2.2.3 Intrinsic Volumes of Convex Bodies 22\u003c\/p\u003e \u003cp\u003e2.2.4 Additive Extensions on the Convex Ring 24\u003c\/p\u003e \u003cp\u003e2.2.5 The Principal Kinematic Formulae of Integral Geometry 25\u003c\/p\u003e \u003cp\u003e2.3 Random Sets 26\u003c\/p\u003e \u003cp\u003e2.3.1 Definition of Random Sets 27\u003c\/p\u003e \u003cp\u003e2.3.2 Characteristics of Random Closed Sets 28\u003c\/p\u003e \u003cp\u003e2.3.3 Random Point Fields 30\u003c\/p\u003e \u003cp\u003e2.3.4 Random Tessellations 33\u003c\/p\u003e \u003cp\u003e2.4 Fourier Analysis 34\u003c\/p\u003e \u003cp\u003e2.4.1 Measurable Functions 34\u003c\/p\u003e \u003cp\u003e2.4.2 Fourier Transform 36\u003c\/p\u003e \u003cp\u003e2.4.3 Bochner’s Theorem 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Lattices, Adjacency of Lattice Points, and Images 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 43\u003c\/p\u003e \u003cp\u003e3.2 Point Lattices, Digitizations and Pixel Configurations 43\u003c\/p\u003e \u003cp\u003e3.2.1 Homogeneous Lattices 44\u003c\/p\u003e \u003cp\u003e3.2.2 Digitization 45\u003c\/p\u003e \u003cp\u003e3.2.3 Pixel Configurations 46\u003c\/p\u003e \u003cp\u003e3.3 Adjacency and Euler Number 47\u003c\/p\u003e \u003cp\u003e3.3.1 Adjacency Systems 48\u003c\/p\u003e \u003cp\u003e3.3.2 Discretization of Sets with Respect to Adjacency 51\u003c\/p\u003e \u003cp\u003e3.3.3 Euler Number 52\u003c\/p\u003e \u003cp\u003e3.3.4 Complementarity 59\u003c\/p\u003e \u003cp\u003e3.3.5 Multi-grid Convergence 60\u003c\/p\u003e \u003cp\u003e3.4 The Euler Number of Microstructure Constituents 61\u003c\/p\u003e \u003cp\u003e3.4.1 Counting Nodes in Open Foams 61\u003c\/p\u003e \u003cp\u003e3.4.2 Connectivity of the Fibres in Non-woven Materials 63\u003c\/p\u003e \u003cp\u003e3.5 Image Data 64\u003c\/p\u003e \u003cp\u003e3.5.1 The Inverse Lattice 65\u003c\/p\u003e \u003cp\u003e3.5.2 The Nyquist–Shannon Sampling Theorem 66\u003c\/p\u003e \u003cp\u003e3.6 Rendering 69\u003c\/p\u003e \u003cp\u003e3.6.1 Volume Rendering 69\u003c\/p\u003e \u003cp\u003e3.6.1.1 Physical Background 69\u003c\/p\u003e \u003cp\u003e3.6.1.2 Transfer function 70\u003c\/p\u003e \u003cp\u003e3.6.1.3 Ray Casting 71\u003c\/p\u003e \u003cp\u003e3.6.1.4 3D Texture Mapping 72\u003c\/p\u003e \u003cp\u003e3.6.2 Surface Rendering 72\u003c\/p\u003e \u003cp\u003e3.6.2.1 Properties of the Reconstructed Surface 72\u003c\/p\u003e \u003cp\u003e3.6.2.2 Marching Cube Type Algorithms 73\u003c\/p\u003e \u003cp\u003e3.6.2.3 The Wrapper Algorithm 75\u003c\/p\u003e \u003cp\u003e3.6.2.4 Merging and Simplification of Surface Meshes 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Image Processing 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Fourier Transform of an Image 79\u003c\/p\u003e \u003cp\u003e4.1.1 The Discrete Fourier Transform of a Discrete One-Dimensional Signal 79\u003c\/p\u003e \u003cp\u003e4.1.2 Fast Fourier Transform 80\u003c\/p\u003e \u003cp\u003e4.1.3 Extensions to Higher Dimensions 81\u003c\/p\u003e \u003cp\u003e4.2 Filtering 82\u003c\/p\u003e \u003cp\u003e4.2.1 Morphological Transforms of Sets 82\u003c\/p\u003e \u003cp\u003e4.2.1.1 Minkowski Addition and Dilation 83\u003c\/p\u003e \u003cp\u003e4.2.1.2 Minkowski Subtraction and Erosion 85\u003c\/p\u003e \u003cp\u003e4.2.1.3 Mean Co-ordination Number of Sinter Particles 86\u003c\/p\u003e \u003cp\u003e4.2.1.4 Morphological Opening and Closure 87\u003c\/p\u003e \u003cp\u003e4.2.1.5 Top-Hat Transforms 89\u003c\/p\u003e \u003cp\u003e4.2.1.6 Algebraic Opening and Closure 89\u003c\/p\u003e \u003cp\u003e4.2.1.7 Aspects of Algorithmic Implementation 90\u003c\/p\u003e \u003cp\u003e4.2.1.8 Handling of Edge Effects 92\u003c\/p\u003e \u003cp\u003e4.2.1.9 Adaptable Morphology 93\u003c\/p\u003e \u003cp\u003e4.2.2 Linear Filters 94\u003c\/p\u003e \u003cp\u003e4.2.2.1 Linear Smoothing Filters 94\u003c\/p\u003e \u003cp\u003e4.2.2.2 Linear Derivative Filters 98\u003c\/p\u003e \u003cp\u003e4.2.3 Morphological Filters 102\u003c\/p\u003e \u003cp\u003e4.2.4 Rank Value Filters 103\u003c\/p\u003e \u003cp\u003e4.2.5 Diffusion Filters 105\u003c\/p\u003e \u003cp\u003e4.2.6 Geodesic Morphological Transforms 107\u003c\/p\u003e \u003cp\u003e4.2.6.1 Reconstruction by Erosion 108\u003c\/p\u003e \u003cp\u003e4.2.6.2 Reconstruction by Dilation 109\u003c\/p\u003e \u003cp\u003e4.2.6.3 Self-Dual Reconstruction 110\u003c\/p\u003e \u003cp\u003e4.2.6.4 H-Minima 111\u003c\/p\u003e \u003cp\u003e4.2.7 Distance Transforms 111\u003c\/p\u003e \u003cp\u003e4.2.7.1 Discrete or Chamfer Distance Transforms 113\u003c\/p\u003e \u003cp\u003e4.2.7.2 Euclidean Distance Transforms 114\u003c\/p\u003e \u003cp\u003e4.2.8 Skeletonization 116\u003c\/p\u003e \u003cp\u003e4.3 Segmentation 120\u003c\/p\u003e \u003cp\u003e4.3.1 Binarization 121\u003c\/p\u003e \u003cp\u003e4.3.1.1 Global Thresholding 121\u003c\/p\u003e \u003cp\u003e4.3.1.2 Local Thresholding 123\u003c\/p\u003e \u003cp\u003e4.3.1.3 Hysteresis 125\u003c\/p\u003e \u003cp\u003e4.3.1.4 Region Growing 127\u003c\/p\u003e \u003cp\u003e4.3.2 Connectedness, Connected Components and Labelling 128\u003c\/p\u003e \u003cp\u003e4.3.2.1 Connectedness 128\u003c\/p\u003e \u003cp\u003e4.3.2.2 Jordan Theorems 132\u003c\/p\u003e \u003cp\u003e4.3.2.3 A Simple Labelling Algorithm 135\u003c\/p\u003e \u003cp\u003e4.3.2.4 Advanced Labelling Techniques 141\u003c\/p\u003e \u003cp\u003e4.3.3 Watershed Transform 143\u003c\/p\u003e \u003cp\u003e4.3.4 Further Segmentation Methods 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Measurement of Intrinsic Volumes and Related Quantities 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 149\u003c\/p\u003e \u003cp\u003e5.2 Intrinsic Volumes 150\u003c\/p\u003e \u003cp\u003e5.2.1 Section Lattices and Translation Lattices 151\u003c\/p\u003e \u003cp\u003e5.2.2 Measurement of Intrinsic Volumes 152\u003c\/p\u003e \u003cp\u003e5.2.3 Discretization of the Translative Integral 153\u003c\/p\u003e \u003cp\u003e5.2.4 Discretization of the Integral over all Subspaces 156\u003c\/p\u003e \u003cp\u003e5.2.4.1 Simple Quadrature 156\u003c\/p\u003e \u003cp\u003e5.2.4.2 Fourier Expansion 159\u003c\/p\u003e \u003cp\u003e5.2.5 Shape Factors 162\u003c\/p\u003e \u003cp\u003e5.2.6 Edge Correction 164\u003c\/p\u003e \u003cp\u003e5.3 Intrinsic Volume Densities 166\u003c\/p\u003e \u003cp\u003e5.3.1 Estimation of Intrinsic Volume Densities for Macroscopically Homogeneous Random Sets 167\u003c\/p\u003e \u003cp\u003e5.3.2 Characterization of Anisotropy 169\u003c\/p\u003e \u003cp\u003e5.3.3 Mean Chord Length 170\u003c\/p\u003e \u003cp\u003e5.3.4 Structure Model Index 171\u003c\/p\u003e \u003cp\u003e5.3.5 Estimation of the Intrinsic Volume Densities for Macroscopically Homogeneous and Isotropic Random Sets 172\u003c\/p\u003e \u003cp\u003e5.3.6 Intrinsic Volume Densities of the Solid Matter of Two Natural Porous Structures 176\u003c\/p\u003e \u003cp\u003e5.4 Directional Analysis 179\u003c\/p\u003e \u003cp\u003e5.4.1 Inverse Cosine Transform 180\u003c\/p\u003e \u003cp\u003e5.4.2 Use of Pixel Configurations Carrying Directional Information 182\u003c\/p\u003e \u003cp\u003e5.4.3 Gradient and Hessian Matrix 184\u003c\/p\u003e \u003cp\u003e5.4.4 Maximum Filter Response 185\u003c\/p\u003e \u003cp\u003e5.4.5 Directional Analysis for Fibres in Ultra-High-Performance Concrete 187\u003c\/p\u003e \u003cp\u003e5.5 Distances Between Random Sets and Distance Distributions 187\u003c\/p\u003e \u003cp\u003e5.5.1 Spherical Contact Distribution Function and Related Quantities 189\u003c\/p\u003e \u003cp\u003e5.5.2 Stochastic Dependence of Constituents of Metallic Foams 192\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Spectral Analysis 195\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 195\u003c\/p\u003e \u003cp\u003e6.2 Second-Order Characteristics of a Random Volume Measure 196\u003c\/p\u003e \u003cp\u003e6.2.1 Covariance Function and Bartlett Spectrum 197\u003c\/p\u003e \u003cp\u003e6.2.2 Power Spectrum 201\u003c\/p\u003e \u003cp\u003e6.2.3 Measurement of the Covariance and the Power Spectrum 202\u003c\/p\u003e \u003cp\u003e6.2.4 Macroscopic Homogeneity and Isotropy 203\u003c\/p\u003e \u003cp\u003e6.2.5 Mean Face Width of an Open Foam 205\u003c\/p\u003e \u003cp\u003e6.2.6 Random Packing of Balls 206\u003c\/p\u003e \u003cp\u003e6.2.7 Particle Rearrangement During Sintering Processes 207\u003c\/p\u003e \u003cp\u003e6.3 Correlations Between Random Structures 208\u003c\/p\u003e \u003cp\u003e6.3.1 The Cross-Covariance Function 209\u003c\/p\u003e \u003cp\u003e6.3.2 Measurement of the Cross Covariance Function 211\u003c\/p\u003e \u003cp\u003e6.3.3 Spatial Cross-Correlation Between Constituents of Metallic Foams 211\u003c\/p\u003e \u003cp\u003e6.4 Second-Order Characteristics of Random Surfaces 212\u003c\/p\u003e \u003cp\u003e6.4.1 The Random Surface Measure 213\u003c\/p\u003e \u003cp\u003e6.4.2 The Bartlett Spectrum 215\u003c\/p\u003e \u003cp\u003e6.4.3 Power Spectrum 218\u003c\/p\u003e \u003cp\u003e6.4.4 Measurement of the Power Spectrum with Respect to the Surface Measure 220\u003c\/p\u003e \u003cp\u003e6.5 Second-Order Characteristics of Random Point Fields 222\u003c\/p\u003e \u003cp\u003e6.5.1 Point Fields and Associated Random Functions 223\u003c\/p\u003e \u003cp\u003e6.5.2 A Wiener–Khintchine Theorem for Point Fields 224\u003c\/p\u003e \u003cp\u003e6.5.3 Estimation of the Pair Correlation Function 226\u003c\/p\u003e \u003cp\u003e6.5.4 The Power Spectra of the Centres of Balls in Dense Packings 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Model-based Image Analysis 233\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction,Motivation 233\u003c\/p\u003e \u003cp\u003e7.2 Point Field Models 234\u003c\/p\u003e \u003cp\u003e7.2.1 The Poisson Point Field 234\u003c\/p\u003e \u003cp\u003e7.2.2 Matern Hard-Core Point Fields 235\u003c\/p\u003e \u003cp\u003e7.2.3 Finite Point Fields Defined by a Probability Density 235\u003c\/p\u003e \u003cp\u003e7.2.3.1 Simulation of Finite Point Fields: Metropolis–Hastings 237\u003c\/p\u003e \u003cp\u003e7.2.3.2 Simulation of Finite Point Fields: Spatial Birth-and-Death Processes 238\u003c\/p\u003e \u003cp\u003e7.3 Macroscopically Homogeneous Systems of Non-overlapping Particles 239\u003c\/p\u003e \u003cp\u003e7.4 Macroscopically Homogeneous Systems of Overlapping Particles 243\u003c\/p\u003e \u003cp\u003e7.4.1 Intrinsic Volumes of Boolean Models in Rn 245\u003c\/p\u003e \u003cp\u003e7.4.2 Intrinsic Volumes of Boolean Models in R3 248\u003c\/p\u003e \u003cp\u003e7.4.3 Structure Model Index for Boolean Models in R3 250\u003c\/p\u003e \u003cp\u003e7.5 Macroscopically Homogeneous Fibre Systems 251\u003c\/p\u003e \u003cp\u003e7.5.1 Boolean Cylinder Model 251\u003c\/p\u003e \u003cp\u003e7.5.2 PET Stacked Fibre Non-woven Materials 252\u003c\/p\u003e \u003cp\u003e7.5.3 Carbon Paper 255\u003c\/p\u003e \u003cp\u003e7.6 Tessellations 256\u003c\/p\u003e \u003cp\u003e7.6.1 Geometric Properties of Tessellations of R3 256\u003c\/p\u003e \u003cp\u003e7.6.1.1 Mean Number of `-Faces Adjacent to a k-Face 257\u003c\/p\u003e \u003cp\u003e7.6.1.2 The Density of k-Faces 258\u003c\/p\u003e \u003cp\u003e7.6.1.3 Mecke’s Characteristics 258\u003c\/p\u003e \u003cp\u003e7.6.1.4 Cell-Based Characteristics 259\u003c\/p\u003e \u003cp\u003e7.6.2 Voronoi Tessellations 260\u003c\/p\u003e \u003cp\u003e7.6.2.1 Poisson Voronoi Tessellation 260\u003c\/p\u003e \u003cp\u003e7.6.2.2 Hard-Core Voronoi Tessellation 261\u003c\/p\u003e \u003cp\u003e7.6.3 Laguerre Tessellations 261\u003c\/p\u003e \u003cp\u003e7.6.3.1 Poisson–Laguerre Tessellations 264\u003c\/p\u003e \u003cp\u003e7.6.3.2 Laguerre Tessellations Generated by Random Packings of Balls 264\u003c\/p\u003e \u003cp\u003e7.6.4 The Weaire–Phelan Foam 265\u003c\/p\u003e \u003cp\u003e7.6.4.1 Random Perturbations of the Weaire–Phelan Foam 266\u003c\/p\u003e \u003cp\u003e7.6.5 Mean Values of Geometric Characteristics of Open Foams 267\u003c\/p\u003e \u003cp\u003e7.6.6 Modelling a Closed Polymer Foam 270\u003c\/p\u003e \u003cp\u003e7.6.7 Modelling an Open Ceramic Foam 276\u003c\/p\u003e \u003cp\u003e7.6.7.1 Modelling the Polyurethane Core 277\u003c\/p\u003e \u003cp\u003e7.6.7.2 Modelling the Coating 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Simulation of Material Properties 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 281\u003c\/p\u003e \u003cp\u003e8.2 Effective Conductivity of Polycrystals by Stochastic Homogenization 282\u003c\/p\u003e \u003cp\u003e8.3 Computation of Effective Elastic Moduli of Porous Media by FEM Simulation 288\u003c\/p\u003e \u003cp\u003e8.3.1 Fundamentals of Linear Elasticity 288\u003c\/p\u003e \u003cp\u003e8.3.2 Finite Element Method 291\u003c\/p\u003e \u003cp\u003e8.3.2.1 Discretization 291\u003c\/p\u003e \u003cp\u003e8.3.2.2 Numerical Solution of the Linear Elastic Problem 292\u003c\/p\u003e \u003cp\u003e8.3.3 Effective Stiffness Tensor Random Sets 294\u003c\/p\u003e \u003cp\u003e8.3.4 Effective Elastic Moduli of a Porous AluminaMaterial 296\u003c\/p\u003e \u003cp\u003e\u003ci\u003eReferences 301\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIndex 319\u003c\/i\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Interscience","offers":[{"title":"Brand New","offer_id":52293435523352,"sku":"9780471377368","price":84.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471377368.jpg?v=1781639875","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/3-d-image-processing-algorithms-hardback-9780471377368","provider":"Freshly Printed Books","version":"1.0","type":"link"}