Kanal / Rosenfeld Progress in Pattern Recognition 1

1. Auflage 2014
ISBN: 978-1-4832-9589-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 395 Seiten, Web PDF

Progress in Pattern Recognition 1

Autoren/Hrsg.

Kanal, L. N.

Rosenfeld, A.

Inhaltsverzeichnis

1;Front Cover;1
2;Progress in Pattern Recognition;4
3;Copyright Page;5
4;Table of Contents;8
5;PREFACE;6
6;Chapter 1. Recent Progress in Syntactic Pattern Recognition;10
6.1;I . INTRODUCTION;10
6.2;II. PRIMITIVE SELECTION AND PATTERN GRAMMARS;11
6.3;III. HIGH DIMENSIONAL GRAMMARS FOR PATTERN DESCRIPTION;14
6.4;IV. SYNTACTIC PATTERN RECOGNITION USING STOCHASTIC LANGUAGES;22
6.5;V. SYNTACTIC RECOGNITION;22
6.6;VI. ERROR-CORRECTING PARSING;24
6.7;VII. CLUSTERING ANALYSIS FOR SYNTACTIC PATTERNS;28
6.8;VIII. SYNTACTIC APPROACH TO SHAPE AND TEXTURE ANALYSIS;32
6.9;IX. APPLICATIONS TO WAVEFORM AND SIGNAL PROCESSING;32
6.10;X. CONCLUDING REMARKS;36
6.11;REFERENCES;37
7;Chapter 2. A RECENT ADVANCE IN DATA ANALYSIS: Clustering Objects Into Classes Characterized by Conjunctive Concepts;42
7.1;I. Introduction;42
7.2;II. An Overview of Clustering Problems;43
7.3;III. The Djmamic Clustering Method;45
7.4;IV. Conjunctive Conceptual Clustering;51
7.5;V. The Algorithm PAF;54
7.6;VI. An Example Problem;56
7.7;VII. Conclusion;60
7.8;VIII. Acknowledgements;62
7.9;REFERENCES;62
8;Chapter 3. DATABASE REPRESENTATIONS IN HIERARCHICAL SCENE ANALYSIS;66
8.1;INTRODUCTION;66
8.2;PRINCIPAL STEPS IN DIGITAL SCENE ANALYSIS;67
8.3;HIERARCHICAL MODEL OF SCENE ANALYSIS;73
8.4;DATABASE REPRESENTATIONS;75
8.5;USE OF DATABASES IN HIERARCHICAL SCENE ANALYSIS;81
8.6;USE OF RELATIONAL TABLES FOR THREE-DIMENSIONAL OBJECT LOCATION;83
8.7;AGGREGATION AND GENERALIZATION;88
8.8;SUMMARY;92
8.9;REFERENCES;94
9;Chapter 4. MEDIUM LEVEL VISION;102
9.1;1. INTRODUCTION;102
9.2;2. LOW, HIGH AND MEDIUM LEVEL VISION;104
9.3;3. TOPICS IN MEDIUM LEVEL VISION;107
9.4;4. STRUCTURAL ENTROPY;118
9.5;5. Two concrete recognition systems;121
9.6;REFERENCES;126
10;Chapter 5. IMAGE PROCESSING SOFTWARE – A SURVEY;132
10.1;INTRODUCTION;132
10.2;MSFC-A CASE-IN-POINT;138
10.3;OTHER DEVELOPMENTS AND TRENDS;147
10.4;CONCLUSIONS;153
10.5;ACKNOWLEDGEMENTS;154
10.6;REFERENCES;154
11;Chapter 6. Analysis and Synthesis of Image Patterns by Spatial Interaction Models;158
11.1;Abstract;158
11.2;I. Introduction;158
11.3;II. Synopsis of Discrete Spatial Interaction Models;160
11.4;III. Neighbor Sets: Markov Definitions and Stationarity;164
11.5;IV. Recursive Models;167
11.6;V. Nonrecursive Models Over Infinite Lattices;169
11.7;VI. Finite lattice models;172
11.8;VIII. Fitting of a Model to a Given Image;179
11.9;IX. Experimental Results;183
11.10;X. Comparison of the Spatial Interaction Models with Random Mosaic Models;186
11.11;XI. Conclusions;188
11.12;REFERENCES;193
12;Chapter 7. DISTANCE TRANSFORMATIONS AND SKELETONS OF DIGITIZED PICTURES WITH APPLICATIONS;196
12.1;INTRODUCTION;196
12.2;2. Basic Definitions and Properties of Picture Operations;197
12.3;3. Distance transformation of a binary picture;206
12.4;4. Distance transformation of a grey picture;243
12.5;5. Bibliographical survey;259
12.6;6. Conclusion;265
12.7;Aclcnowledgement;266
12.8;Bibliography;266
13;Chapter 8. RECOGNITION OF STEREO-IMAGE CROSS-CORRELATION ERRORS;274
13.1;SECTION 1 - INTRODUCTION;274
13.2;SECTION 2 - CORRELATION TECHNIQUES AND IMAGE MATCHING;281
13.3;SECTION 3 - CORRELATION ERROR VARIANCE;293
13.4;SECTION 4 - THE COVARIANCE FUNCTION;302
13.5;SECTION 5 - CORRELATION ERROR RECOGNITION: EXPERIMENTAL RESULTS;306
13.6;SECTION 6 - SUMMARY AND CONCLUSIONS;323
13.7;FOOTNOTES;328
13.8;BIBLIOGRAPHY;328
14;Chapter 9. MATHEMATICAL ASPECTS OF IMAGE RECONSTRUCTION FROM PROJECTIONS;332
14.1;1. INTRODUCTION;332
14.2;2. THE INFINITE DIMENSIONAL APPROACH;336
14.3;3. RECONSTRUCTION FROM INCOMPLETE DATA;340
14.4;4. OPTIMIZATION THEORY AND ITERATIVE TECHNIQUES;346
14.5;5. THE FULLY THREE-DIMENSIONAL PROBLEM;356
14.6;6. DISPLAY OF RECONSTRUCTIONS;365
14.7;7. CONCLUSION;372
14.8;ACKNOWLEDGEMENTS;372
14.9;REFERENCES;372
15;Chapter 10. SURVEY: REPRESENTATION METHODS FOR THREE-DIMENSIONAL OBJECTS;386
15.1;1. Introduction;386
15.2;2. Data Acquisition Techniques;386
15.3;3. Representations Using Solids;389
15.4;4. Surface Descriptions;392
15.5;5. Conclusions;395
15.6;Acknowledgements;396
15.7;References;396