Journal of Geotechnical Geology

Journal of Geotechnical Geology

High-order image processing technique for concrete automatic crack recognition

Yazarlar: Hossein Azizi Seadabadi

Cilt 15 , Sayı 1 , 2019 , Sayfalar 255-258

Konular:-

Anahtar Kelimeler:Concrete,Atificial intelligence,Automatic recognition,Crack,Image processing

Özet: Application of artificial intelligence in concrete technology is expanded significantly especially identify the crack location and propagation mechanism which it has a direct role in damaging concrete. Structural health monitoring techniques are used to image based automatic crack detection where successfully applied on crack detection in concrete. Presented study attempted to use the image processing technique to identify the crack status in concrete bodies which is used as alternative procedures for conventional crack detection methods where provide the accurate detection method by Python programming languages.

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@article{2019, title={High-order image processing technique for concrete automatic crack recognition}, volume={15}, number={255–258}, publisher={Journal of Geotechnical Geology}, author={Hossein Azizi Seadabadi}, year={2019} }
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Hossein Azizi Seadabadi. (2019). High-order image processing technique for concrete automatic crack recognition (Vol. 15). Vol. 15. Journal of Geotechnical Geology.
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Hossein Azizi Seadabadi. High-Order Image Processing Technique for Concrete Automatic Crack Recognition. no. 255–258, Journal of Geotechnical Geology, 2019.
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