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Metric for evaluation of filter efficiency in spectral cameras

机译:评估光谱相机滤波器效率的度量

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摘要

Although metric functions that show the performance of a colorimetric imaging device have been investigated, a metric for performance analysis of a set of filters in wideband filter-based spectral cameras has rarely been studied. Based on a generalization of Vora's Measure of Goodness (MOG) and the spanning theorem, a single function metric that estimates the effectiveness of a filter set is introduced. The improved metric, named MMOG, varies between one, for a perfect, and zero, for the worst possible set of filters. Results showed that MMOG exhibits a trend that is more similar to the mean square of spectral reflectance reconstruction errors than does Vora's MOG index, and it is robust to noise in the imaging system. MMOG as a single metric could be exploited for further analysis of manufacturing errors. (C) 2016 Optical Society of America
机译:尽管已经研究了显示比色成像装置的性能的度量功能,但是很少研究了基于宽带滤波器的频谱相机中的一组滤波器的性能分析的度量。 基于Vora的良善度(MOG)和跨度定理的概括,介绍了估计滤波器集的有效性的单一功能度量。 对于最糟糕的滤波器,改进的度量标准,名为MMOG,在一个完美和零之间变化。 结果表明,MMOG表现出比Vora的MOG索引的光谱反射重建误差的均线更类似的趋势,并且对成像系统中的噪声具有稳健性。 可以利用MMOG作为单个度量,以进一步分析制造错误。 (c)2016年美国光学学会

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