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Stacked denoising autoencoder for infrared thermography image enhancement

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Author(s):
Wei, Ziang ; Fernandes, Henrique ; Tarpani, Jose Ricardo ; Osman, Ahmad ; Maldague, Xavier ; IEEE
Total Authors: 6
Document type: Journal article
Source: 2021 IEEE 19TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN); v. N/A, p. 7-pg., 2021-01-01.
Abstract

Pulsed thermography is one of the most popular thermography inspection methods. During an experiment of pulsed thermography, a specimen is quickly heated, and infrared images are captured to provide information about the specimen's surface and subsurface conditions. Adequate transformations are usually performed to enhance the contrast of the thermal images and to highlight the abnormal regions before these thermal images are visually inspected. Given that deep neural networks have been a success in computer vision in the past few years, a data contrast enhancement approach with stacked denoising autoencoder (DAE) is proposed in this paper to enhance the abnormal regions in the thermal frames gathered by pulsed thermography. Compared to the direct principal component thermography, the proposed method can enhance the abnormalities evidently without weakening important details. (AU)

FAPESP's process: 15/14702-2 - Infrared thermography (IRT) inspection of ballistically impacted carbon fibre-reinforced polymer (CFRP) laminates designed for self-healing behavior
Grantee:Karen Saori Morioka
Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
FAPESP's process: 16/06009-8 - 21th European Conference on Fracture (ECF21)
Grantee:José Ricardo Tarpani
Support Opportunities: Research Grants - Meeting - Abroad
FAPESP's process: 10/08552-4 - Eighteenth European Conference on Fracture - ECF18
Grantee:José Ricardo Tarpani
Support Opportunities: Research Grants - Meeting - Abroad
FAPESP's process: 14/25031-9 - Evaluation of the self-healing potential of a thermoplastic ionomer mechanicaly damaged at ambient temperature
Grantee:Karen Saori Morioka
Support Opportunities: Scholarships in Brazil - Scientific Initiation