利用光谱技术定量识别岩石颜色方法研究

Research on Quantitative Identification of Rock Color Using Spectral Technology

岩石颜色不仅反映沉积环境而且指示特有矿物与元素,是纵向横向沉积演化,地层对比的重要依据和指标之一。目前岩石颜色主要依赖肉眼识别和主观描述,或使用色卡进行对比判读。这些方法受个体差异和环境影响较大,缺少定量计算方法,无法满足颜色批量精准识别的需要。因此快速、批量、高效实现颜色的客观识别和数值量化对地质工作研究和应用具有重要意义。该研究基于色度学原理,利用光谱分析技术,结合Python计算机语言编译的岩石颜色定量化识别软件,实现岩石颜色的数值定量化和批量自动化转换,提高颜色的判断精度和识别效率。通过对《Munsell Rock Book》对比发现,CIE RGB颜色系统计算结果与色卡一致性较高,Munsell系统计算结果中色相值(<3个NBS单位)一致性达到86.7%,明度值和纯度值的一致性分别达到92.2%和82.2%,相关性为98.83%和87.50%,均属于较小色差范围。相较于Munsell系统计算结果,31个岩石样品的CIE RGB计算结果与样品颜色的一致性和准确性更高。造成颜色差异的原因复杂多样,不仅与颜色系统之间的转换误差和人为主观对比及判读有关,而且与岩石样品的特殊性和环境等因素密切相关。本次研究为岩石颜色的快速、高效、客观批量化和定量化表征提供了一种可行性方法和思路,具有较好的应用价值。

Rock color reflects the geological environment and mineral and element composition of its formation.And it is one of the important basis and indicators for vertical stratigraphic correlation and lateral environmental evolution.Rock color mainly relies on visual identification and subjective description or uses color charts for comparative interpretation.These methods are greatly affected by individual differences and the environment,lack quantitative calculation methods,and cannot meet the needs of accurate color identification in batches.Therefore,it is of great significance for the research and application of geological work to quickly realize the objective identification and numerical quantification of color.This research is based on the principle of colorimetry,using spectral analysis technology combined with the quantitative recognition software of rock color compiled by Python computer language.It can perform numerical quantification and automatic batch conversion of rock color.The method improves color judgment accuracy and recognition efficiency.The comparison of《Munsell Rock Book》shows that the calculation results of the CIE RGB color system are highly consistent with the color card.In the calculation results of the Munsell system,the consistency of hue value(<3 NBS units)reached 86.7%,the consistency of lightness value and purity value reached 92.2%and 82.2%,and the correlation was 98.83%and 87.50%.Their errors all belong to the small chromatic aberration range.Compared with the calculation results of the Munsell system,the CIE RGB calculation results of the 31 rock samples are more consistent and accurate with the color of the samples.The reasons for the errors are complex and diverse,related to the conversion error between color systems,human subjective comparison and interpretation,and closely related to the particularity of rock samples and the environment and other factors.This study provides a feasible method for the quantitative characterization of rock color.This research has good application value.