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基于树莓派的棉花色杂一体化测量系统开发OA

Development of an Integrated Measurement System for Cotton Impurity Rate and Color Based on Raspberry Pi

中文摘要英文摘要

为解决单仪器对棉花含杂率和颜色的低成本测量问题,设计并开发了一款基于树莓派的棉花含杂率和色度一体化测量系统.本系统选用 CMOS 摄像头来采集棉花的测试样本图像,并通过基于视觉图像的方法,实现棉花测试样本杂质数量和含杂率(含杂面积)的测量;选用 AS73211 新型 XYZ 颜色传感器来采集棉花的光谱三刺激值,并通过分光光度计校准,最终在尼克松-亨特(Nickerson-Hunter)色度空间下实现棉花的两个色度值(反射率 Rd 和黄度+b)的测量.同时,设计相应的棉花色杂一体测量软件界面,用以实时显示棉花含杂率及色度的测量数据结果.实验结果表明,本系统含杂率的测量误差不超过0.5%,颜色三刺激值之间的色差均值不超过 5,实现了一个低成本的棉花色杂一体测量系统.

In order to solve the problem of low-cost measurement of cotton impurity rate and color by a single instrument,a Raspberry Pi-based integrated measurement system of cotton impurity and chromaticity is designed and developed.A CMOS camera is used to collect the images of cotton test samples and realize the measurement of impurity quantity and impurity rate(impurity area)of cotton test samples through the visual image-based method.The AS73211 novel XYZ color sensor is used to collect the spectral tri-stimulus values of cotton,which are calibrated by a spectrophotometer,and finally the measurement of the two chromaticity values of the cotton(reflectivity Rd and yellowness+b)under the chromaticity space of Nickerson-Hunter is realized.At the same time,a measurement software interface corresponded by cotton color and impurity is designed to display the results of cotton impurity rate and chromaticity measurement data in real time.The experimental results show that the measurement error of the impurity rate of the system is not more than 0.5%,and the mean value of the color difference between the three stimulus values of the color does not exceed 5,which realizes a low-cost cotton color and impurity measurement system.

陈亚军;邓小凯;袁一喆;刘琳琳;卢明

西安理工大学信息科学系,陕西 西安 710048西安理工大学信息科学系,陕西 西安 710048西安理工大学信息科学系,陕西 西安 710048西安理工大学信息科学系,陕西 西安 710048甘肃省科学院自动化研究所,甘肃 兰州 730000

信息技术与安全科学

颜色传感器色度测量参数校准棉花含杂率测量图像分割树莓派

color sensorchromaticity measurementparameter calibrationcotton impurity rate measurementimage segmentationRaspberry Pi

《传感技术学报》 2026 (7)

1481-1488,8

国家自然科学基金项目(62273273)国家科技重大专项项目(2025ZD1606404)陕西省重点研发计划项目(2023-YBNY-203,2023-YBNY-231)甘肃省科学院产业化应用项目(2023YLCY-04)

10.3969/j.issn.1004-1699.2026.07.009

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