Department of Electrical and Electronic Engineering, University of Manchester, Manchester, M13 9PL, UK.
Sci Rep. 2021 Jan 22;11(1):2102. doi: 10.1038/s41598-020-80591-9.
Small changes in daylight in the environment can produce large changes in reflected light, even over short intervals of time. Do these changes limit the visual recognition of surfaces by their colour? To address this question, information-theoretic methods were used to estimate computationally the maximum number of surfaces in a sample that can be identified as the same after an interval. Scene data were taken from successive hyperspectral radiance images. With no illumination change, the average number of surfaces distinguishable by colour was of the order of 10,000. But with an illumination change, the average number still identifiable declined rapidly with change duration. In one condition, the number after two minutes was around 600, after 10 min around 200, and after an hour around 70. These limits on identification are much lower than with spectral changes in daylight. No recoding of the colour signal is likely to recover surface identity lost in this uncertain environment.
环境中日光的微小变化会导致反射光发生显著变化，即使在短时间内也是如此。这些变化是否会限制人对颜色的表面的视觉识别？为了回答这个问题，我们使用信息论方法来计算在一段时间后，样本中可以被识别为相同的表面的最大数量。场景数据取自连续的高光谱辐射图像。在没有光照变化的情况下，可通过颜色区分的表面数量平均为 10000。但是，随着光照变化，可识别的平均数量随变化持续时间迅速下降。在一种情况下，两分钟后大约有 600 个，十分钟后大约有 200 个，一个小时后大约有 70 个。这些识别限制远低于日光中的光谱变化。在这种不确定的环境中，对颜色信号进行重新编码可能无法恢复丢失的表面身份。
