Enhanced and Automatic Defect Detection in Thermography using Stacked Denoising Autoencoder

Active infrared thermography (AIRT) with frequency-modulated stimuli has emerged as a feasible and cost-effective non-destructive testing method for checking a variety of materials, with improved fault identification and depth resolution. However, assessing this non-stationary thermal response while...

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Bibliographic Details

Published in:	2024 5th IEEE Global Conference for Advancement in Technology (GCAT) pp. 1 - 8
Main Authors:	Vesala, G. T., Ghali, V. S., Lakshmi, A. Vijaya, Wang, Fei, Yerneni, Naga Prasanthi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04.10.2024
Subjects:	Autoencoder Autoencoders Defect detection Feature extraction Frequency modulated thermography Frequency modulation Infrared imaging Latent space Local outlier factor Noise reduction Stacked denoising autoencoder Steel Thermal analysis Thermal noise Vectors
ISBN:	9798350376661
Online Access:	Get full text
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