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基于图像处理技术的路面裂缝检测与识别

ABSTRACT第5-6页
摘要第7-14页
CHAPTER 1 INTRODUCTION第14-21页
    1.1 Motivation第15-18页
    1.2 Research Objectives第18-19页
    1.3 Contributions第19-20页
    1.4 Organization Of the Dissertation第20-21页
CHAPTER 2 STATE OF THE ART第21-50页
    2.1 Pavement Surface Visual Inspection第22-41页
        2.1.1 Pavement Data Collection Vehicles第22-32页
        2.1.2 Asphalt Concrete Surfaced Pavement Distress Types第32-41页
            2.1.2.1 Alligator Cracking第33页
            2.1.2.2 Block Cracking第33-34页
            2.1.2.3 Longitudinal Cracking第34-35页
            2.1.2.4 Reflection Cracking at Joints第35-36页
            2.1.2.5 Transverse Cracking第36-37页
            2.1.2.6 Pothole第37-38页
            2.1.2.7 Patching第38-41页
    2.2 Previous Research第41-50页
        2.2.1 Multi Resolution Approach第41-44页
        2.2.2 Machine Learning Approach第44-45页
        2.2.3 Intensity Thresholding Approach第45-47页
        2.2.4 Real Time Approach第47-50页
CHAPTER 3 PROPOSED METHODOLOGY AND ALGORITHM第50-94页
    3.1 Order Statistic Methods第51-53页
        3.1.1 Median Filter第51-52页
        3.1.2 Min Filters第52-53页
    3.2 Histogram Thresholding Segmentation Approach第53-61页
        3.2.1 Sealed Crack Detection第54-58页
            3.2.1.1 Otsu Method with K=2(OT)第55-56页
            3.2.1.2 Kittler and Illingworth Method(KI)第56页
            3.2.1.3 Maximum Triangle Distance Method(MT)第56-57页
            3.2.1.4 Local Minimum Method(LM)第57-58页
        3.2.2 Crack Detection第58-61页
            3.2.2.1 Iterative Clipping(IT)第58-59页
            3.2.2.2 Weighted Mean(WM)第59-60页
            3.2.2.3 Weighted Neighborhood Pixel(WNP)第60-61页
    3.3 Two-pass Connected Component Labeling Algorithm第61-63页
    3.4 Mathematical Morphology第63-65页
        3.4.1 Erosion and Dilation第64页
        3.4.2 Opening and Closing Operation第64-65页
    3.5 Proposed Detection Algorithm第65-68页
    3.6 Image Preprocessing第68-77页
        3.6.1 Background Uniformization第69-73页
        3.6.2 Pavement Marking Removal第73-77页
    3.7 Sealed Crack Detection第77-85页
        3.7.1 Segmentation Using LM Method第77-80页
        3.7.2 Posterior Enhancements第80-85页
            3.7.2.1 Noise Removal第81页
            3.7.2.2 Hole-Filling第81-85页
    3.8 Crack Detection第85-94页
        3.8.1 Segmentation Using WNP Method第85-90页
        3.8.2 Posterior Enhancements第90-94页
            3.8.2.1 Crack Connectivity第91-92页
            3.8.2.2 Noise Removal第92-94页
CHAPTER 4 EXPERIMENTAL RESULTS & EVALUATION第94-109页
    4.1 Performance Evaluation of Proposed Sealed Crack Detection Algorithm第95-99页
        4.1.1 Performance Measurement of Sealed Crack第96-98页
        4.1.2 Robustness Measurement of Sealed Crack Detection第98-99页
    4.2 Performance Evaluation of Proposed Crack Detection Algorithm第99-109页
        4.2.1 Pattern Selection第100-103页
        4.2.2 Robustness Measurement第103-104页
        4.2.3 Crack Detection Performance第104-109页
CHAPTER 5 CONCLUSIONS AND FUTURE WORK第109-115页
    5.1 Summary第110-111页
    5.2 Conclusions第111-113页
    5.3 Future Work第113-115页
REFERENCES第115-129页
附件第129页

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