Crack Identification of Infrared Thermal Imaging Steel Sheet Based on Convolutional Neural Network
Aiming at the low efficiency and poor anti-interference ability of traditional non-destructive testing technology in steel plate crack detection, a crack recognition method based on convolutional neural network for infrared thermal imager is proposed. Firstly, a rolling electric heating rod is devel...
Main Authors: | Wang Wei, Li Qing |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201823201053 |
Similar Items
-
Infrared Thermal Images Classification for Pressure Injury Prevention Incorporating the Convolutional Neural Networks
by: Yu Wang, et al.
Published: (2021-01-01) -
Thermal Defect Detection for Substation Equipment Based on Infrared Image Using Convolutional Neural Network
by: Kaixuan Wang, et al.
Published: (2021-08-01) -
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks
by: Yongbo Li, et al.
Published: (2019-05-01) -
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning
by: Jun Yang, et al.
Published: (2019-01-01) -
NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification
by: Min Peng, et al.
Published: (2016-10-01)