当前位置: X-MOL 学术Minerals › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade
Minerals ( IF 2.5 ) Pub Date : 2021-07-22 , DOI: 10.3390/min11080791
Sufei Zhang , Ying Guo

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

中文翻译:

使用计算机视觉系统测量宝石颜色:翡翠玉案例研究

本文介绍了计算机视觉系统 (CVS),它提供了一种测量宝石颜色的新方法,并比较了 CIELAB 空间中硬玉颜色的 CVS 和色度计 (CM) 测量结果。通过专家组测试和合理的回归模型在涉及几乎所有翡翠颜色的111个样品的实验中验证了使用CVS进行翡翠颜色测量的可行性。在专家组测试中,超过 93.33% 的 CVS 图像被认为与真实物体具有高度相似性。比较来自 CVS 和 CM 测试的 L*、a*、b*、C*、h 和 ∆E*(大于 10)表明测量的颜色之间存在显着的视觉差异。对于 a*、b* 和 h,R 2CVS 和 CM 的回归模型的 90.2% 或更高。CVS读数可用于预测CM测量的颜色值,这意味着CVS技术可以成为检测翡翠颜色的实用工具。
更新日期:2021-07-22
down
wechat
bug