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首页> 外文期刊>Mechanical systems and signal processing >An innovative technique for real-time adjusting exposure time of silicon-based camera to get stable gray level images with temperature evolution
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An innovative technique for real-time adjusting exposure time of silicon-based camera to get stable gray level images with temperature evolution

机译：实时调整硅相机曝光时间的创新技术，可随着温度的变化获得稳定的灰度图像

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摘要

Silicon-based sensor cameras are known to be sensitive in the near infrared spectral range, in which a small temperature variation leads to a large modification in the image gray level. It induces acquired images with local saturation or poor dynamic range of gray levels. In order to address this problem, the present study proposes an innovative technique to precisely and automatically adjust the exposure time to obtain stable gray level images when the temperature evolution occurs on the surface of the observed object. Two algorithms, including linear algorithm and Planck's algorithm, are proposed to predict the exposure time to obtain stable gray level images. Blackbody heating experiment is conducted to validate the accuracy of these two algorithms, and the result indicates that stable gray level images can be obtained using Planck's algorithm. Moreover, this technique is applied to the specimen heating experiment, and the stable gray level images can also be obtained using Planck's algorithm. These two experimental results prove that the technique is effective and reliable. Finally, the thermal fields are reconstructed on images of blackbody. (C) 2018 Elsevier Ltd. All rights reserved.
机译：众所周知，基于硅的传感器相机在近红外光谱范围内很敏感，在该范围内，较小的温度变化会导致图像灰度级发生较大的变化。它会导致获取的图像具有局部饱和度或较差的灰度动态范围。为了解决这个问题，本研究提出了一种创新技术，当温度变化发生在被观察物体的表面上时，可以精确自动地调整曝光时间以获得稳定的灰度图像。提出了两种算法，包括线性算法和普朗克算法，以预测曝光时间以获得稳定的灰度图像。进行黑体加热实验以验证这两种算法的准确性，结果表明，使用普朗克算法可以获得稳定的灰度图像。此外，该技术被应用于样品加热实验，并且还可以使用普朗克算法获得稳定的灰度图像。这两个实验结果证明了该技术的有效性和可靠性。最后，在黑体图像上重建热场。 （C）2018 Elsevier Ltd.保留所有权利。

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