University of Sheffield, Department of Materials Science and Engineering, Sir Robert Hadfield Building, Sheffield, S1 3JD, UK.
AWE, Aldermaston, Reading, RG7 4PR, UK.
Forensic Sci Int. 2021 Feb;319:110678. doi: 10.1016/j.forsciint.2020.110678. Epub 2020 Dec 25.
A digital colour image may be composed of hundreds of thousands of pixels, every pixel exhibiting a single colour. Each colour can be described as a combination of red, green and blue (RGB) components, of discrete values between 0-255. The RGB data contained within the pixels of an image could, therefore, be used to quantitatively establish the colour of nuclear material powders from digital images, particularly for use in nuclear forensics applications, where there is a need for consistent, objective analysis. This paper sets out a standard method for the photography and analysis of digital images of uranium oxide powder, for the objective quantification of colour by mean RGB values. Eight heat treated (up to 550°C) powder samples of studtite ([(UO)(O)(HO)]·2HO) were photographed at room temperature and analysed by the RGB method. Hue, saturation and value of the coloured samples were obtained alongside mean RGB values, both of which were used to successfully determine the heating temperatures of unknown specimens of studtite.
一幅数字彩色图像可能由数十万个像素组成，每个像素显示一种单一的颜色。每种颜色都可以描述为红、绿、蓝（RGB）成分的组合，其值在 0-255 之间为离散值。因此，可以使用图像像素中的 RGB 数据来定量确定核材料粉末的颜色，特别是在需要一致、客观分析的核取证应用中。本文提出了一种标准方法，用于对二氧化铀粉末的数字图像进行摄影和分析，以便通过平均 RGB 值对颜色进行客观量化。在室温下拍摄了 8 个经过热处理（高达 550°C）的 studtite（[(UO)(O)(HO)]·2HO）粉末样品，并通过 RGB 方法进行了分析。获得了彩色样品的色调、饱和度和值，以及平均 RGB 值，两者都成功地确定了 studtite 未知样本的加热温度。
