Ratnasingam Sivalogeswaran, Collins Steve
Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
J Opt Soc Am A Opt Image Sci Vis. 2010 Feb 1;27(2):286-94. doi: 10.1364/JOSAA.27.000286.
An algorithm is described to extract two features that represent the chromaticity of a surface and that are independent of both the intensity and correlated color temperature of the daylight illuminating a scene. For mathematical convenience this algorithm is derived using the assumptions that each photodetector responds to a single wavelength and that the spectrum of the illumination source can be represented by a blackbody spectrum. Neither of these assumptions will be valid in a real application. A new method is proposed to determine the effect of violating these assumptions. The conclusion reached is that two features can be obtained that are effectively independent of the daylight illuminant if photodetectors with a spectral response whose full width at half maximum is 80 nm or less are used.
本文描述了一种算法,用于提取两个代表表面色度的特征,且这两个特征与照亮场景的日光强度和相关色温均无关。为方便数学推导,该算法基于以下假设得出:每个光电探测器对单一波长做出响应,且照明源的光谱可由黑体光谱表示。在实际应用中,这两个假设均不成立。本文提出了一种新方法来确定违背这些假设所产生的影响。得出的结论是,如果使用半高全宽为80纳米或更小的光谱响应的光电探测器,则可以获得两个与日光光源有效无关的特征。