Stacked denoising autoencoder for infrared thermography image enhancement

Autor(es)

Wei, Ziang ; Fernandes, Henrique ; Tarpani, Jose Ricardo ; Osman, Ahmad ; Maldague, Xavier ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2021 IEEE 19TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN); v. N/A, p. 7-pg., 2021-01-01.

Resumo

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)

• Processo FAPESP: 15/14702-2 - Inspeção por termografia infravermelha após impacto balístico de laminados de matriz polimérica reforçados com fibras de carbono e projetados para comportamento auto-regenerável
• Beneficiário: Karen Saori Morioka
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Iniciação Científica
• Processo FAPESP: 16/06009-8 - 21th European Conference on Fracture (ECF21)
• Beneficiário: José Ricardo Tarpani
• Modalidade de apoio: Auxílio à Pesquisa - Reunião - Exterior
• Processo FAPESP: 10/08552-4 - Eighteenth European Conference on Fracture - ECF18
• Beneficiário: José Ricardo Tarpani
• Modalidade de apoio: Auxílio à Pesquisa - Reunião - Exterior
• Processo FAPESP: 14/25031-9 - Avaliação do potencial auto-regenerativo de um ionômero termoplástico mecanicamente danificado em temperatura ambiente
• Beneficiário: Karen Saori Morioka
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica