| 摘要 | 第5-7页 |
| Abstract | 第7-9页 |
| Chapter 1 Introduction | 第13-23页 |
| 1.1 Background | 第13-18页 |
| 1.1.1 Video&image processing | 第13-17页 |
| 1.1.2 Crack Detection | 第17-18页 |
| 1.2 The purpose of the research | 第18-19页 |
| 1.3 The significance of the research | 第19-20页 |
| 1.4 General work plan | 第20-21页 |
| 1.5 Thesis Outlines | 第21-23页 |
| Chapter 2 Literature Review | 第23-38页 |
| 2.1 Binarization Method | 第23-27页 |
| 2.1.1 Global Threshold Method | 第25-26页 |
| 2.1.2 Local Threshold Method | 第26-27页 |
| 2.2 Background Extraction Techniques | 第27-28页 |
| 2.3 Moving object detection from video based on background extraction techniques | 第28-33页 |
| 2.3.1 Object detection from video | 第28-29页 |
| 2.3.2 Background subtraction | 第29-30页 |
| 2.3.3 Temporal difference | 第30-32页 |
| 2.3.4 Mean Algorithm | 第32-33页 |
| 2.4 Detection crack based on Background Extraction Techniques | 第33-37页 |
| 2.4.1 Detection Crack Techniques | 第33-35页 |
| 2.4.2 VIBE Method | 第35-37页 |
| 2.5 Summary | 第37-38页 |
| Chapter 3 Detection in Vehicle | 第38-66页 |
| 3.1 Introduction (Detection in image) | 第38页 |
| 3.2 An Enhanced Bernsen Algorithm Approach for Vehicle Logo Detection | 第38-44页 |
| 3.2.1 Bernsen Method | 第40页 |
| 3.2.2 The Proposed Method | 第40-41页 |
| 3.2.3 Mathematical Morphology | 第41-42页 |
| 3.2.4 Vehicle Logo Information | 第42-43页 |
| 3.2.5 Vehicle logo detection | 第43-44页 |
| 3.3 Detection objects in video | 第44页 |
| 3.4 Video background extraction using improved Mean algorithm and frame difference method | 第44-49页 |
| 3.4.1 Frame difference algorithm | 第45页 |
| 3.4.2 Mean algorithm | 第45-46页 |
| 3.4.3 The proposed method | 第46-48页 |
| 3.4.4 Standard of algorithm comparison | 第48-49页 |
| 3.5 Moving object tracking based on background extraction using mean algorithm and threetemporal difference algorithms | 第49-52页 |
| 3.5.1 Three temporal difference | 第50页 |
| 3.5.2. The Proposed method | 第50-52页 |
| 3.6 Experiment results and analysis | 第52-64页 |
| 3.6.1 Experiment results and analysis for an enhanced Bernsen algorithm approach forvehicle logo detection | 第52-55页 |
| 3.6.2 Experiment results and analysis for video background extraction using improvedmean algorithm and frame difference method | 第55-59页 |
| 3.6.3 Experiment results and analysis for moving object tracking based on backgroundextraction using mean algorithm and three temporal difference algorithm | 第59-64页 |
| 3.7 Summary | 第64-66页 |
| Chapter 4 Detection Crack | 第66-88页 |
| 4.1 Introduction | 第66页 |
| 4.2 Detection crack in cement image using Otsu method and multiple filtering in imageprocessing techniques | 第66-72页 |
| 4.2.1 Experimental program | 第66-67页 |
| 4.2.3. Experimental test method | 第67-68页 |
| 4.2.4 The proposed method | 第68-70页 |
| 4.2.5 Otsu algorithm analysis | 第70-72页 |
| 4.3 Moving crack detection based on improved VIBE and multiple filtering in image processingtechniques | 第72-78页 |
| 4.3.1 The proposed algorithm | 第72-74页 |
| 4.3.2 Experimental program | 第74-75页 |
| 4.3.3. Experimental test method | 第75-78页 |
| 4.4 Experiment results and analysis | 第78-86页 |
| 4.4.1 Experiment results and analysis for detection crack in cement image using Otsumethod and multiple filtering in image processing techniques | 第78-80页 |
| 4.4.2 Experiment results and analysis for moving crack detection based on improved VIBEand multiple filtering in Image processing techniques | 第80-81页 |
| 4.4.3 Quantitative evaluations | 第81-86页 |
| 4.5 Summary | 第86-88页 |
| Chapter 5 Conclusion and future work | 第88-92页 |
| 5.1 Conclusions | 第88-90页 |
| 5.2 Future work | 第90-92页 |
| Acknowledgement | 第92-93页 |
| References | 第93-103页 |
| Appendix A | 第103-105页 |
| List of Publications | 第105-106页 |
