Tinted films and glazing application on windows reduce glare but can sometime induce color shifts, which needs to be characterized by fast and reliable means. We propose a color graphic that uses the dominant colors of the image seen through the tinted film and compares it to the dominant colors of the original unfiltered image. An image segmentation algorithm applied on a Gaussian blurred image segments the whole scene into six clusters. The median RGB values of the six clusters provide the six dominant colors, which were validated through the means of a psycho‐visual experiment. This difference in the dominant colors of the original and the tinted scene is visualized through a color vector connecting the two colors on the CIELAB's a*b* color plane. This color graphic was directly applied to a glazing application and the predictions of the color graphic visually matched the actual rendition of the glazing. This color graphic provides a clear and concise information about the color shifts that can be directly applied in building and lighting industry to study final renditions of lighting and interior glazing applications. The graphic is especially useful for highly chromatic glazing, which cannot always be characterized by traditional color rendering, because they are too distant from the Planckian/black body curve.

中文翻译：

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通过场景的主要颜色归因于有色玻璃的颜色偏移

窗户上的有色薄膜和玻璃上光可减少眩光，但有时会引起色移，这需要以快速，可靠的方式进行表征。我们提出一种彩色图形，该图形使用通过有色胶片看到的图像的主要颜色，并将其与原始未过滤图像的主要颜色进行比较。应用在高斯模糊图像上的图像分割算法将整个场景分割为六个簇。六个聚类的RGB中值提供了六种主要颜色，这些颜色已通过心理视觉实验进行了验证。通过将CIELAB a * b上的两种颜色连接起来的颜色矢量，可以看到原始场景和着色场景中主要颜色的差异。*彩色平面。该彩色图形直接应用于玻璃应用，并且彩色图形的预测在视觉上与玻璃的实际再现相匹配。该彩色图形提供了有关色移的清晰明了的信息，可直接将其应用于建筑和照明行业中，以研究照明和室内玻璃应用的最终外观。该图形对于高度彩色玻璃尤其有用，因为它们与普朗克/黑体曲线之间的距离太远，因此无法始终以传统的彩色渲染为特征。