基于模式识别技术的色貌模型评价研究

选用Munsell新标数据集,采用基于模式识别技术的圆度、色相角偏差、明度线性度与空间投影点聚集度四个指标来分别评价目前八个典型色貌模型在彩度均匀性、色相预测准确性、明度均匀性、颜色的空间再现的能力。结果表明,不同的色貌模型在四个方面的颜色再现性上表现出不同的优势。八个色貌模型对彩度预测最好的是RLAB,每个色貌模型对红色和绿色预测比较好,CAM02在色相预测整体上占优势;明度的均匀性预测都比较好,尤其是CIELAB;LLAB的颜色的空间再现能力最好。

The research of color appearance models evaluation based on pattern recognition technology

Munsell new standard data set and four pattern recognition indexes ,which are roundness, the deviation of hue angles, lightness linearity and gathered degrees of space projection points, are chosen to evaluate the current eight typical color appearance models in chroma uniformity, hue forecasting accuracy ,the lightness uniformity and the reproduction ability of color space. The result is that different color appearance models have different advantages in the four aspects. The RLAB is good at the chroma predetermination. The red and green are predicted well by every color appearance and CAM02 has an advantage in hue reproduction completely. Every color appearance excels in the lightness uniformity, especially CIELAB. The color space is restored best by LLAB.