Object recognition using MWIR thermography with varying emissivity and temperature levels
Date
2010
Authors
Liao, M.G.
Jain, L.
Pattison, J.E.
Cheng, M.H.
Ay, H.
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Journal article
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Journal of Flow Visualization and Image Processing, 2010; 17(1):1-14
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Abstract
An infrared (IR) camera is one of the common tools for taking images for thermography analysis in the medical field. In this paper, object recognition using infrared images captured with a Middle Wave Infrared (MWIR) camera is studied. By using the InSb detector, the MWIR system used in this study operates in the 3−5 μm waveband, and it is suited for high-end research and development applications. To enhance the use of MWIR thermography in real-world applications, it is important to devise reliable image generation and processing techniques for MWIR images. An experimental study has been conducted to identify the capability of MWIR thermography in distinguishing an object (a human hand) from its background with varying emissivity and temperature levels. It was observed that object recognition becomes difficult when the emissivity difference is within 0.01 under the temperature condition of within 1°C for the object and the background.
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Copyright 2010 Begell House