云母氧化铁的表面颜色差异识别研究  

Research on Surface Color Difference Identification of Mica-Based Iron Oxide

作　　者：贺琦君 张海滨 陈蓉 魏进财 张翼[1] HE Qi-jun;ZHANG Hai-bin;CHEN Rong;WEI Jin-cai;ZHANG Yi(Wuhan Institute of Technology,School of Resources and Safety Engineering,Wuhan 430074,China;Zhejiang Ruicheng New Material Co.,Ltd.,Wenzhou 325401,Zhejiang,China;Wuhan Product Quality Supervision and Inspection Institute,Wuhan 430048,China;Golmud Zangge Potash Fertilizer Co.,Ltd.,Golmud 816000,Qinghai,China)

机构地区：[1]武汉工程大学资源与安全工程学院,武汉430074 [2]浙江瑞成新材料股份有限公司,浙江温州325401 [3]武汉产品质量监督检验所,武汉430048 [4]格尔木藏格钾肥有限公司,青海格尔木816000

出　　处：《现代涂料与涂装》2025年第2期15-18,共4页Modern Paint & Finishing

基　　金：国家自然科学基金面上项目51974205;云南省磷资源技术创新中心项目202305AK340002-4。

摘　　要：云母氧化铁颜料的表面颜色差异研究旨在解决传统测色方法在珠光颜料颜色识别准确上的不稳定。本研究采用CCD传感器颜色识别系统,并结合平顶光源,对不同颜色校正算法进行比较,最终选择动态阈值白平衡算法模型,以实现对云母氧化铁颜色的精准识别。通过对比分光光度计与CCD传感器颜色识别系统的颜色识别效果,结果表明:CCD传感器颜色识别系统具有明显的优势,并且显著提升了传统颜色测量方法在色差值计算方面的稳定性和准确性。The research on on the surface color difference of mica iron oxide pigments aims to address the instability of traditional color measurement methods in accurately identifying the colors of pearlescent pigments.This study utilized a CCD sensor color recognition system in conjunction with a flat-top light source to compare different color correction algorithms.Ultimately,the dynamic threshold white balance algorithm model was chosen to achieve precise identification of mica iron oxide colors.By comparing the color recognition performance of spectrophotometers and CCD sensor color recognition systems,the experimental results demonstrated that the CCD sensor color recognition system has significant advantages and notably improves the stability and accuracy of traditional color measurement methods in color difference calculations.

关 键 词：云母氧化铁 分光光度计 CCD传感器 色差 

分 类 号：TQ633[化学工程—精细化工]