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Image processing and analysis : a practical approach / edited by Richard Baldock and Jim Graham. — Oxford : Oxford University Press, c2000.—(73.772/I31i)

Contents

    Contents
    
    1. Microscope image acquisition 1
     Stephanie L. Ellenberger and Ian T. Young
     1. Introduction 1
     Microscope systems 1
     Case study 2
     2. Basic optics 3
     Nature of light 3
     Illumination 7
     Optical system 9
    3. Microscope image acquisition system 12
     Microscope types and components 12
     Camera types and performance 19
     Images 28
    4. Application 29
     Objective 29
     Materials and methods 30
     Performance 34
    References 35
    2. Biological image processing and enhancement 37
    G. W. Horgan, C. A. Reid, and C. A. Glasbey
    1. Introduction 37
    2. Contrast manipulation 39
     Functional transformation 40
     Histogram-based transformations 41
     Pseudocolour 42
     Thresholding 43
     Zooming 46
    3. Filtering 46
     Linear filters 46
     Non-linear filters 50
    4. Mathematical morphology 53
     Basic ideas 54
     Greylevel morphology 56
     Complex operations 58
     Top-hat transform and background subtraction 58
    5. Texture measures 60
     Statistical approaches 61
     Structural approaches 64
     Modelling approaches 64
     Texture transforms 65
    Acknowledgements 66
    References 66
    3. Image analysis: quantitative interpretation of chromosome images 69
     Kenneth R. Castleman
     1. Introduction 69
     The karotyping problem 70
     Historical perspective 70
     Current practice 70
     Automatic karyotyping 70
    2. Image segmentation 72
     Thresholding 73
     The watershed algorithm 76
     Gradient image thresholding 76
     Laplacian edge detection 77
     Edge detection and linking 78
     Region growing 84
    3. Boundary refinement 85
     Active contours 85
     Binary image processing 87
     Morphological image processing 88
     Boundary curvature analysis 91
     Touch and overlap resolution 92
    4. Chromosome measurement 93
     Morphological features 94
     Banding pattern features 94
    5. Chromosome classification 96
     The Bayes classifier 96
    6. Karotype generation 99
     Chromosome straightening 99
     Chromosome enhancement 99
     Chromosome assignment 101
    7. Other cytogenetics applications 102
     Multiplex-FISH 103
     Metaphase finding 104
    8. Image processing software 105
     Academic packages 105
     Commercial packages 105
    References 106
    4. Pattern recognition: classification of chromosomes 111
    Jim Graham
    1. Introduction 111
    2. The chromosome classification problem 112
    3. Classification methods 114
     Defining classification in terms of probabilities 114
     Using Bayes' formula 115
     Non-parametric methods 121
    4. Features and feature selection 124
     Selecting features 126
     Combining features 128
     Clustering 129
    5. Neural networks 131
     Introduction 131
     Supervised training 132
     Unsupervised training 135
    6. Classifying chromosomes 137
     Features 137
     Data sets 138
     Classifiers 139
    7. Classifier validation 141
     The need for validation 141
     Cross-validation, the jackknife and the bootstrap 141
     The confusion matrix 142
     Validating issues for neural networks 143
     Training-set size and validation 143
     Validation issues for the two-class problem 144
    8. Available material 148
     Software 148
     Further reading 149
    
     Acknowledgements 150
    References 150
    5. Three-dimensional (3D) reconstruction from serial sections 153
    Fons J. Verbeek
    1. Introduction 153
     3D reconstruction in microscopy 153
     Why serial sectioning is necessary 154
    2. Methodological aspects 156
     Modes of action 158
    Organizing the reconstruction data 159
    Methods and devices for the input of the data 161
    Spatial resolution 166
    Alignment and deformation correction 166
    3. Mathematical aspects 173
     Estimation of transformations 173
     Spatial transformation of image values 174
     Image correspondences 175
     Point-pattern matching methods 175
     Shape-based assessment methods 178
     Registration and congruencing using image moment 180
     Affine transform component estimation 181
     Evaluation using similarity measures 184
     Intensity-based methods 185
    4. Systems for routine application of 3D reconstruction 186
     Reconstruction under rigid transformation 187
     Reconstruction including deformation correction 187
    References 194
    6. 3D analysis: registration of biomedical images 197
    Daniel Rueckert and David J. Hawkes
    1. Introduction 197
    Intra-subject registration 198
    Inter-subject registration 198
    Serial registration 198
    Image to physical space registration 198
    Overview 199
    2. Registration transformation 200
     Rigid transformation 200
     Affine transformation 200
     Projective transformation 201
     Elastic or fluid transformation 201
    3. Registration basis 202
     Point-based registration 202
     Contour- and surface-based registration 204
     Voxel-based registration 207
    4. Optimization 211
    5. Applications 212
     2D registration 212
     3D-3D rigid registration 212
     3D-3D non-rigid registration 214
     Validation 215
    6. Summary 217
    Acknowledgements 218
    References 219
    7. Model-based methods in analysis of biomedical images 223
     Tim Cootes
     1. Introduction 223
     2. Background 223
    3. Application 225
     4. Theoretical background 227
     Building models 227
     Image interpretation with models 232
     Active shape models 234
     5. Discussion 240
     6. Implementation 242
     Appendices 242
     Aligning the training set 242
     Principal component analysis 244
     Applying a PCA when there are fewer samples than dimensions 245
     Aligning two shapes 246
     Acknowledgements 246
     References 246
    8. Projective stereology in biological microscopy 249
     Andrew D. Carothers
     1. Introduction 249
     2. Points and distances 250
     3. Lines 253
     4. Surface areas 254
     5. Volumes 255
     6. Applications 256
     Determining the order of three DNA loci 256
     Location of chromosomal domains in cell nuclei 257
     Size of chromosomal domains in cell nuclei 259
     7. Discussion 259
     Acknowledgements 260
     References 260
    9. Image warping and spatial data mapping 261
     Richard A. Baldock and Bill Hill
     1. Introduction 261
     Notation and numerical methods 262
     2 Image comparison 264
     Binary image overlay 264
     Colour comparator 267
     Blink comparator 268
     3. Image re-sampling 269
     Nearest neighbour interpolation 270
     Bilinear interpolation 270
     Computational efficiency 270
     4. Defining correspondence 273
     5. Global transforms 274
     Affine 275
     Polynomial 278
     Conformal 279
     Thin-plate spline 282
     Multiquadric 284
     Gaussian 284
    6. Local transforms 285
     Simple mesh transformation 285
     Elastic plate warping 286
    7. Mapping gene-expression data 286
    8. Summary 286
    References 288
    List of Suppliers 289
    Index 294