목차

目 次
List of Figures
List of Tables
List of Photos
List of Nomenclature
Abstract
Chapter 1. Introduction
1.1 Research background 1
1.2 Research trends 4
1.3 Research contents 7
Chapter 2. Configuration of machine vision system 9
2.1 Camera 9
2.1.1 Interface 9
2.1.2 Scan type 11
2.1.3 Sensor type 12
2.1.4 Shutter type 14
2.2 Lens 16
2.3 LabVIEW 20
2.3.1 Introduction about LabVIEW 20
2.3.2 Vision module 22
Chapter 3. Theoretical background 23
3.1 Local Binary Pattern 23
3.1.1 Texture 23
3.1.2 Introduction about local binary pattern 24
3.2 Support vector machines 27
Chapter 4. Image processing with LabVIEW 34
4.1 Pre-processing 34
4.1.1 Resample 34
4.1.2 Extract plane 35
4.2 Motion detection 35
4.3 Database 40
4.4 RGB contrast 42
4.5 Gaussian pyramids 45
4.6 Feature extraction and classification 48
Chapter 5. Experimental devices 52
5.1 Experimental system 52
5.2 Camera & lens 53
5.3 Power over ethernet 57
5.4 Smoke generator 58
5.5 Light intensity meter 59
5.6 Camera software 60
Chapter 6. Experimental results and analysis 63
6.1 Experimental environment 63
6.1.1 Experimental facility 63
6.1.2 Database 67
6.1.3 Performance evaluation method 76
6.2 Experimental results 78
6.2.1 Boiler_Ⅰ smoke detection 78
6.2.2 Boiler_Ⅱ smoke detection 80
6.2.3 Boiler_Ⅲ smoke detection 82
6.2.4 Boiler_Ⅳ smoke detection 84
6.2.5 Main engine_Ⅰ smoke detection 86
6.2.6 Main engine_Ⅱ smoke detection 88
6.2.7 Generator_Ⅰ smoke detection 90
6.2.8 Generator_Ⅱ smoke detection 92
6.2.9 Purifier_Ⅰ smoke detection 94
6.2.10 Purifier_Ⅱ smoke detection 96
6.2.11 Can_Ⅰ smoke detection 98
6.2.12 Can_Ⅱ smoke detection 100
6.2.13 Doorway_Ⅰ smoke detection 102
6.2.14 Doorway_Ⅱ smoke detection 104
6.2.15 Tank smoke detection 106
6.3 Experimental analysis 108
Chapter 7. Conclusion 116
7.1 Conclusions 116
7.2 Future research 119
Reference 120
Abstract 126
Acknowledgement 129