RGB颜色模型
色调
像素
数字图像
人工智能
计算机视觉
计算机科学
摄影
数字图像分析
材料科学
计算机图形学(图像)
数学
图像处理
图像(数学)
艺术
视觉艺术
作者
Nathan B.A. Thompson,Sarah E. O’Sullivan,Robert J. Howell,Daniel J. Bailey,Matthew R. Gilbert,Neil C. Hyatt
标识
DOI:10.1016/j.forsciint.2020.110678
摘要
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 ([(UO2)(O2)(H2O)2]·2H2O) 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.
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