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Is there a better non-parametric alternative to von Kries scaling?

机译:有没有比von Kries缩放更好的非参数替代方法?

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The effect on cone excitations of a change in illuminant on a scene may be predicted by von Kries scaling, but these predictions are not perfectly accurate. Here, a non-parametric method was used instead, but which preserved the principle of independence of activity in cone or cone-opponent mechanisms. Performance was evaluated over samples taken from 50 hyperspec-tral images of vegetated and non-vegetated natural scenes under large changes in daylight illuminant. Taking due account of differences in degrees of freedom, the non-parametric model gave significantly better predictions than von Kries scaling of cone or cone-opponent activity.
机译:von Kries缩放可以预测场景中光源变化对圆锥体激发的影响,但这些预测并非十分准确。在这里,使用了非参数方法,但是保留了锥体或锥体对手机制中活动独立性的原理。在日光光源发生较大变化的情况下,对从50个植被和非植被自然场景的高光谱图像中采集的样本进行了性能评估。考虑到自由度的差异,非参数模型给出的预测比圆锥或圆锥对手活动的von Kries定标要好得多。

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