基于机器视觉的六价铬检测系统的研究  

Research on hexavalent chromium detection system based on machine vision

作　　者：孙超[1] 张明杨 杨飘 刘睿凡 齐卉 丁建军[1] SUN Chao;ZHANG Mingyang;YANG Piao;LIU Ruifan;QI Hui;DING Jianjun(School of Physics and Information Engineering,Jianghan University,Wuhan 430056,China)

机构地区：[1]江汉大学物理与信息工程学院,湖北武汉430056

出　　处：《现代电子技术》2020年第10期54-58,62,共6页Modern Electronics Technique

基　　金：国家科技支撑项目(2013BAD11B02);国家科技支撑项目(2014BAD14B05 5);武汉市市属高校产学研结合项目(CXY201803)。

摘　　要：文中依据重金属残留现场快速检测的要求,利用二苯碳酰二肼分光光度法显色原理而制成的六价铬检测试纸,对溶液中的六价铬离子发生紫红色的显色反应,建立基于机器视觉的六价铬检测系统的研究。在空间域上对试纸图像进行中值滤波去噪,利用RGB彩色空间模型,将试纸的R,G,B三个颜色分量作为特征值提取出来,拟合出R,G,B的值与被测溶液浓度之间的回归模型,实现基于机器视觉的六价铬检测系统的研究。On the basis of the requirement of rapid spot detection of heavy metal residues,the hexavalent chromium testing paper is made by means of the color reaction principle of diphenylcarbazide spectrophotometry. The hexavalent chromium detection system based on machine vision is established for the amaranthine color reaction of the hexavalent chromium ion in the solution. The median filtering de-noising for the testing paper image is performed in the spatial domain,and then the RGB color space model is used to extract the R,G and B color components of the test paper as the characteristic values. The regression model between the R,G and B values and the measured solution concentration is fitted to realize the research on the hexavalent chromium detection system based on machine vision.

关 键 词：机器视觉 六价铬检测 回归模型 特征值提取 中值滤波 图像处理 

分 类 号：TN911.23-34[电子电信—通信与信息系统]