The calibration and image post-processing method research of temperature-sensitive paint
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摘要: 涂料校准误差是温敏漆实验技术中的重要误差源。针对国产615/EP配方温敏漆实施校准实验，系统研究了校准过程中涉及的CCD曝光时间，图像平均幅数，噪点的强度、体积和数量，图像清晰度和模数转换位数等技术参数对校准精准度的影响。研究结果表明：噪点的强度、体积和数量对涂料校准精准度影响很大。在噪点数量少、强度弱的取图区域中，图像清晰度对校准精准度影响很小，单幅图像即可保证校准精准度的要求。为了获得较高的校准精准度，对于滨松ORCA-R2型CCD相机，建议采集图像灰度值大于相机满井值的32%，同时要求温敏漆风洞实验与校准实验中采集图像的位数保持一致。Abstract: Temperature-sensitive Paint (TSP) calibration error is an important error source in the TSP experimental technique. Based on the domestic 615/EP TSP, the effects of some calibration technical details including the CCD exposure time, image average quantity, noise level, image definition and analog-to-digital (A/D) conversion digit on the calibration precision are studied. The research results show that, the image noise level has a significant effect on the calibration precision. In an image region of low noise level, the image definition and the image average quantity have less significant influence on the calibration precision. In order to obtain high-precision calibration results, the image gray should exceed 32% of the CCD full-well capacity for the Hamamatsu CCD camera, and the tunnel test and calibration test should have the same number of digits for the image A/D conversion.
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Key words:
- TSP /
- calibration method /
- calibration error /
- calibration precision /
- calibration criterion
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图 2 TSP校准图像后处理流程示意图
Figure 2. The schematic diagram of TSP calibration image post-processing
图 8 样片区域平均像素灰度值随时间的变化曲线
Figure 8. The curve of average pixel gray value varying with time
图 10 615/EP涂料7次重复性校准误差带
Figure 10. The repeatability calibration error band of 615/EP TSP
图 11 不同曝光时间下的样片图像光强(参考状态)
Figure 11. The sample image intensity for different CCD exposure times (reference condition)
图 12 不同曝光时间之间的校准差量曲线
Figure 12. The calibration differential curves for different CCD exposure times
图 14 不同噪点水平取图区域的校准差量
Figure 14. The calibration differential curves for different noise levels
图 15 噪点区域与基本状态区域校准结果对比
Figure 15. Comparison of the TSP calibration curves in the noise area and the basic state area
图 16 不同平均图像数之间的校准差量曲线
Figure 16. The calibration differential curves for different image average quantities
图 18 不同图像清晰度的校准差量
Figure 18. The calibration differential curves for different image definition
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