/surface-crack-detection

An experiment with deep learning to segmentation

Primary LanguagePythonMIT LicenseMIT

Surface Crack Detection

Digital image processing class project, master degree, UPE - POLI (2018.2)

Description

Project to detect surface cracks in images using digital image processing and deep learning. For segmentation, it was used the unet model. [ref]

Results

Original Predicted Overlay
Original Predicted Overlay

Citation

If this project helped in any way in your research work, feel free to cite the following paper:

@article{10.1590/s1678-86212021000100498,
   title     = {{Processamento digital de imagens para detec\~A\S\~A\poundso autom\~A!`tica de fissuras em revestimentos cer\~A\textcentmicos de edif\~A\-cios}},
   journal   = {{Ambiente Constru\~A\-do}},
   author    = {Ruiz, Ramiro Daniel Ballesteros AND Lordsleem Junior, Alberto Casado AND Neto, Arthur Flor de Sousa AND Fernandes, Bruno Jos\~A\copyright Torres},
   pages     = {139 - 147},
   volume    = {21},
   month     = {01},
   year      = {2021},
   publisher = {scielo},
   isbn      = {1678-8621},
   url       = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-86212021000100139&nrm=iso},
   doi       = {10.1590/s1678-86212021000100498},
}