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Contents 1

Concrete crack identification framework using optimized unet and I-V fusion algorithm for infrastructure / Yuan Pan ; Shuang-xi Zhou ; Jing-yuan Guan ; Qing Wang ; Yang Ding 1

ABSTRACT 1

1. Introduction 1

2. Materials and Methods 3

2.1. Establishment of Dataset 3

2.2. Deep Learning Network Framework 3

3. Image Enhancement and Edge Feature Extraction 4

3.1. Raw Data Preprocessing 4

3.2. Edge Feature Extraction 4

3.3. Image Data Fusion 5

4. Crack Deep Learning Network 6

4.1. Selection of Network Model 6

4.2. Network Model 6

4.3. Dice Loss Function 8

5. Crack Feature Extraction Based on Fused Data 8

5.1. Parameters Setting of M-Unet Network 9

5.2. Precision Evaluation Indicators 9

5.3. Results of Crack Extraction by Combining Edge Features 9

6. Determine Concrete Cracks Surface Using Integrated Voting (I-V)Algorithm 11

6.1. Integrated Voting Algorithm 11

6.2. Fusion Results and Discussion 11

7. Conclusions 12

References 12

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