Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks.

Kim, Jin-Young; Park, Man-Woo; Huynh, Nhut Truong; Shim, Changsu; Park, Jong-Woong

Kim, Jin-Young; Park, Man-Woo; Huynh, Nhut Truong; Shim, Changsu; Park, Jong-Woong.

Afiliação

Kim JY; Sambo Engineering, Seoul 05640, Republic of Korea.
Park MW; Department of Civil and Environmental Engineering, Myongji University, Yongin 17058, Republic of Korea.
Huynh NT; Department of Civil and Environmental Engineering, Myongji University, Yongin 17058, Republic of Korea.
Shim C; Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Park JW; Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.

Sensors (Basel) ; 23(8)2023 Apr 14.

Article em En | MEDLINE | ID: mdl-37112330

Palavras-chave

concrete crack; convolutional neural network; deep learning; length measurement; low definition crack image

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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