Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection-Reference-Cited by-同舟云学术

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Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection

Published:2023-06-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE World AI IoT Congress (AIIoT)
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Author:

Vrochidou Eleni¹,Sidiropoulos George K.¹,Tsimperidis Ioannis¹,Ouzounis Athanasios G.¹,Sarafis Ilias T.¹,Kalpakis Vassilis¹,Stamkos Andreas²,Papakostas George A.³

Affiliation:

1. International Hellenic University,MLV Research Group,Department of Computer Science,Kavala,Greece

2. International Hellenic University,Department of Chemistry,Kavala,Greece

3. MLV Research Group, Department of Computer Science International Hellenic University Kavala, Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10174256/10174258/10174288.pdf?arnumber=10174288

Reference35 articles.

1. Deep Learning-Based Thermal Image Analysis for Pavement Defect Detection and Classification Considering Complex Pavement Conditions

2. Feature Pyramid Networks for Object Detection

3. Automatic Pavement Defect Detection and Classification Using RGB-Thermal Images Based on Hierarchical Residual Attention Network

4. LabelMe: A Database and Web-Based Tool for Image Annotation

5. Deep Learning-based Semantic Segmentation for Crack Detection on Marbles

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1. ApeTI: A Thermal Image Dataset for Face and Nose Segmentation with Apes;Signals;2024-03-15

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