PDF(Pubmed)
Abstract：
In this article, the detailed description of a smartphone-based analytical method to turn a smartphone into a colorimeter is described and applied to mural painting replicas. The method consists of a camera characterization process, to estimate CIELAB values from RGB camera responses, correcting for potential experimental interferences, like the effect of the lighting/capture geometry or software for color modification and enhancement. Next, the estimated CIELAB descriptors were used to build a chemometric Support Vector Classifier to objectively distinguish among the colors of the different pigments. The method was validated in terms of color reproduction and classification performance.•A smartphone-based method is described to capture mural painting color.•A color gamut-specific camera characterization procedure is developed and the performance of the smartphone-based colorimeter is compared with a spectrophotometer.•A classification method based on the estimated CIELAB descriptors is validated in terms of classification performance.
摘要：
在这篇文章中,详细描述的基于智能手机的分析方法，将智能手机变成色度计的描述和应用于壁画复制品。该方法由相机表征过程组成，要估计来自RGB相机响应的ELAB值，校正潜在的实验干扰，如照明/捕获几何或用于颜色修改和增强的软件的效果。接下来,使用EstmatedCIELAB描述符构建化学计量学支持向量分类器,以客观区分不同颜料的颜色.该方法在色彩再现和分类性能方面进行了验证。•描述了一种用于捕获壁画颜色的基于智能手机的方法。•开发了特定于色域的相机表征程序，并将基于智能手机的比色计的性能与分光光度计进行了比较。•在分类性能方面验证了基于估计的CIELAB描述符的分类方法。
