Non-destructive thickness testing of TBCs using synthetic aperture imaging with pulsed terahertz waves

This dataset is used for the non-destructive evaluation of thermal barrier coatings (TBCs). It contains all the original data used in the associated publication, including:
• 3D terahertz (THz) reconstruction imaging scripts,
• Two-stage interface extraction algorithms,
• Deep learning-based interface extraction program,
• Thickness measurement program,

First, use Image.m to read TBC, curved, or flat samples and generate sliced THz images.
Then, use main.py to extract the interfaces.
Finally, use 3D_detect to perform thickness extraction.
When using the two-stage method for extracting target interfaces, please ensure to adjust the jida_num parameter located in the dataprocess module.