Abstract
This paper explores the use of image-to-image translation techniques for translating thermography into digital image correlation data. A Pix2Pix model and a CycleGAN model were trained on a dataset of paired and unpaired images to translate between the two image domains. The results show that while the CycleGAN model exhibited some challenges in correlating images obtained by different optical systems, the Pix2Pix model demonstrates promising potential. The trained Pix2Pix model were also validated on unseen data, providing confidence for future research in this area.
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