Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation

H Huang, Y Cai, C Zhang, Y Lu, A Hammad… - Automation in …, 2024 - Elsevier
The integration of visible and thermal images has demonstrated the potential ability to
enhance crack segmentation accuracy. However, due to the intricate texture of masonry …

Comparative analysis of infrared thermography processing techniques for roadways' sub-pavement voids detection

NN Kulkarni, S Dabetwar, J Benoit, T Yu, A Sabato - NDT & E International, 2022 - Elsevier
Roadways' sub-pavement voids caused by eroded soil through damaged culverts lead to
safety hazards, traffic inconvenience, and expensive repairs. Infrared thermography (IRT) …

[HTML][HTML] Computer Vision Method for Automatic Detection of Microstructure Defects of Concrete

AN Beskopylny, SA Stel'makh, EM Shcherban'… - Sensors, 2024 - mdpi.com
The search for structural and microstructural defects using simple human vision is
associated with significant errors in determining voids, large pores, and violations of the …

Guided Super-Resolution for Image Fusion: A Novel Approach to Enhancing Crack Segmentation in Masonry Structures

Y Fang, L Fan, Y Cai - IEEE Sensors Journal, 2025 - ieeexplore.ieee.org
In the field of crack segmentation, red-green-blue (RGB) and infrared (IR) images acquired
with different sensors are often fused to improve segmentation accuracy. In existing studies …