A study on thermal image generation based on deep learning and abnormal temperature detection

Ziyun Zhang; Makoto Hasegawa

doi:10.1117/12.2566922

1 June 2020 A study on thermal image generation based on deep learning and abnormal temperature detection

Ziyun Zhang, Makoto Hasegawa

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152E (2020) https://doi.org/10.1117/12.2566922
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

A thermal image taken by a thermal camera and an RGB color picture were arranged in a dataset pair; the datasets were learned using a deep learning algorithm called pix2pix. After the sufficient training in the machine learning, it was possible to generate a thermal image from a color image taken with a digital camera. This paper provides a new method of generating thermal image without a thermal camera; the thermal camera is required when we create training materials. Furthermore, a method for detecting abnormal temperatures using deep learning is proposed. Features of thermal images are concerned and evaluated the results of our method.

Citation Download Citation

Ziyun Zhang and Makoto Hasegawa "A study on thermal image generation based on deep learning and abnormal temperature detection", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152E (1 June 2020); https://doi.org/10.1117/12.2566922

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