Yuki-11/CSSR
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
This tool helps structural engineers or inspection professionals accurately identify and map cracks on surfaces like high-altitude chimney walls from low-resolution aerial images. It takes blurry images captured from a distance and outputs clear, high-resolution visual maps highlighting all cracks, even thin ones. This is for professionals who need precise crack detection for structural integrity assessments or maintenance planning.
No commits in the last 6 months.
Use this if you need to detect and segment cracks from images taken from a distance, where the original image quality might be too low for standard methods.
Not ideal if your crack inspection images are already high-resolution or if you only need general crack presence detection rather than precise segmentation.
Stars
87
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jun 22, 2024
Commits (30d)
0
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