This book constitutes the refereed proceedings of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, MDA 2008, held in Leipzig, Germany, on July 18, 2008.
The 18 full papers presented were carefully reviewed and selected for inclusion in the book. The topics include techniques and developments of signal and image producing procedures, object matching and object tracking in microscopic and video microscopic images, 1D, 2D and 3D shape analysis, description, feature extraction of texture, structure and location, and signal analysis and interpretation, image segmentation algorithms, parallelization of image analysis and interpretation algorithms, and semantic tagging of microscopic images, and application-oriented research from life science applications.
Author(s): Petra Perner, Ovidio Salvetti
Series: Lecture notes in Artificial Intelligence 4826
Edition: 1
Publisher: Springer
Year: 2008
Language: English
Pages: 191
front-matter.pdf......Page 1
Introduction......Page 9
System Requirements......Page 10
The Microscopic Image-Acquisition System......Page 12
The Automatic Probe-Acquisition and Handling System......Page 13
The Architecture......Page 15
Case-Based Object Recognition......Page 16
Classification......Page 19
References......Page 21
Introduction......Page 23
Threshold Selection from Gray-Level Variograms......Page 24
Experimental Results......Page 27
Conclusion......Page 33
Introduction......Page 35
The Method......Page 37
Non-topological Erosion......Page 38
Topological Expansion......Page 39
Using Lower Resolution Image Representation......Page 40
Extending the Method to Color Images......Page 42
Conclusion......Page 43
References......Page 44
Introduction......Page 45
Point-Based Rigid Registration......Page 47
Complex Bingham Distribution......Page 48
Generalized Procrustes Method......Page 49
Experimental Results......Page 50
Conclusion......Page 54
Introduction......Page 55
Basis Function......Page 57
Initialization and Optimization......Page 58
Segmentation......Page 59
Results and Discussion......Page 60
Conclusion......Page 61
Statistical Analysis of Microspectroscopy Signals for Algae Classification and Phylogenetic Comparison......Page 66
Introduction......Page 67
Formulation of the Problem......Page 68
The Learning Phase......Page 70
The Estimation Schedule......Page 72
Experimental Results......Page 73
Conclusions......Page 75
Introduction......Page 77
Related Work......Page 78
Application......Page 79
Semantic Labels......Page 81
The Generic Process Chain Necessary for Semi-automatic Semantic Annotation......Page 83
Results and Discussion......Page 84
Conclusion and Future Work......Page 85
References......Page 86
Synthesis......Page 88
Measurement Technique......Page 89
Conclusion......Page 90
References......Page 91
Introduction......Page 92
SLPC-Based Image Feature......Page 94
Spatial LPC-VQ-Based Classification......Page 97
Experimental Results......Page 99
Conclusion......Page 100
Introduction......Page 102
Watershed Partition......Page 104
Classification of Regions......Page 106
Reducing Oversegmentation by Multi-scale Representation......Page 108
Conclusion......Page 110
References......Page 111
Introduction......Page 112
Cell Segmentation: Finding Cells......Page 113
Signal Detection: Finding Molecules......Page 115
Finding Cells......Page 116
Finding Molecules......Page 117
Finding Patterns......Page 119
Conclusions......Page 120
Introduction......Page 123
The Fuzzy-neural Segmentation......Page 124
Cells Dislocation Detection......Page 125
Cells Contour Extraction......Page 126
Results......Page 128
Discussion and Conclusions......Page 131
References......Page 134
Introduction......Page 136
Operation Procedures......Page 137
Results and Discussion......Page 138
References......Page 143
Introduction......Page 144
Periodically Deforming Visual Object......Page 145
Object Reconstruction......Page 146
Object Characterization......Page 147
Deformation Pattern Assessment......Page 148
Results......Page 149
Conclusions and Further Work......Page 151
Introduction......Page 154
Problem Formulation and Bayesian Estimation......Page 155
Experimental Results......Page 158
Conclusions......Page 162
Introduction......Page 164
Microscopy......Page 165
Cell Layer Alignement......Page 166
Detecting Nuclear Positions......Page 168
Evaluation of Position Data......Page 170
3D-Arrays......Page 171
References......Page 172
Introduction......Page 173
Analysis of Heart Fibre Images......Page 174
Midline Extraction......Page 175
Measurement of the Tangential Orientations......Page 177
Statistical Data Analysis......Page 178
LME-Estimation of the Mean Orientation......Page 179
Results......Page 180
Conclusions and Further Work......Page 182
Introduction......Page 184
Image Analysis......Page 185
Mapping of Image Information to Hygiene Relevant Parameter with Data Mining......Page 187
Conclusions......Page 189
References......Page 190
back-matter.pdf......Page 191
