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Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration

Author(s): ORCID (School of Civil Engineering, Southeast University, Nanjing, China)
ORCID (School of Civil Engineering, Southeast University, Nanjing, China)
ORCID (Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA)
(School of Civil Engineering, Southeast University, Nanjing, China)
(Shenzhen Express Engineering Consulting Co., Ltd, Shenzhen, China)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 7, v. 19
Page(s): 1-12
DOI: 10.1080/15732479.2021.1994617
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/15732479.2021.1994617.
  • About this
    data sheet
  • Reference-ID
    10636835
  • Published on:
    30/11/2021
  • Last updated on:
    01/04/2023
 
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