[1]郭忠超,张周强,周 玲.棉花颜色视觉检测系统及影响因素分析研究[J].机械与电子,2022,(04):3-7.
　GUO Zhongchao,ZHANG Zhouqiang,ZHOU Ling.Study on Cotton Color Vision Detection System and its Influencing Factors[J].Machinery & Electronics,2022,(04):3-7.
点击复制

棉花颜色视觉检测系统及影响因素分析研究()
分享到：

机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年04期
页码:
3-7
栏目:
设计与研究
出版日期:
2022-04-27

文章信息/Info

Title:
Study on Cotton Color Vision Detection System and its Influencing Factors
文章编号:
1001-2257 ( 2022 ) 04-0003-05
作者:
郭忠超; 张周强; 周 玲
西安工程大学机电工程学院,陕西 西安 710600
Author(s):
GUO Zhongchao ;  ZHANG Zhouqiang ;  ZHOU Ling
( School of Mechanical and Electrical Engineering , Xi ’ an Polytechnic University , Xi ’ an 710600 , China )
关键词:
机器视觉; 棉花颜色; 环境影响因素; 棉花表面处理; 颜色空间转换
Keywords:
machine vision ;  cotton color ;  environment impact factors ;  cotton surface treatment ;  color space conversion
分类号:
TP391.41 ; TS117
文献标志码:
A
摘要:
针对在采用机器视觉技术测量棉花颜色等级时的外界光照影响严重、准确率较低的问题,提出了基于机器视觉的棉花颜色检测系统及其结构。设计视觉检测平台,避免外界光源噪声的影响。选取89C51 单片机作为控制部分的核心,利用电机控制棉花的表面处理。软件部分通过采集棉花图像的三通道颜色,并利用颜色空间转化技术获取棉花颜色值,实现对棉花颜色值的在线检测。利用改变外界环境光及对棉花上表面的压力作为实验变化量,分别检测不同场景的棉花颜色值并加以分析。实验结果表明:在非密闭环境会对棉花颜色检测造成影响,且需要对棉花上表面施加至少 40 N 的压力,才能降低棉花因蓬松而对实验结果产生影响;在设计的装置下测量棉花颜色值的反射率误差率最低为 0.06% 、黄度误差率最低为0.35% 。
Abstract:
Aiming at the problem of low accuracy caused by external illumination when measuring cotton color grade by machine vision technology , a cotton color detection system based on machine vision and its structure are presented.Visual inspection platform is designed to avoid noise from external light sources.Selecting 89C51 microcontroller as the core of the control part , the surface treatment of cotton is controlled by motor.The software collects the three channels color of cotton images , the cotton color value is obtained by color space transformation technology , realize the on-line detection of cotton color value is realized.Changing ambient light and pressuring on the upper surface of cotton is used as experimental variation , the cotton color values of different scenes are detected and analyzed.It is shown that non closed environment will affect cotton color detection , a pressure of at least 40 N on the upper surface of cotton is required to reduce the influence of cotton fluffiness on experimental results.Under the detection of the design device , the error rate?of?reflectivity
of cotton color value can reach 0.06% and the error rate of yellowness can reach 0.35%.

参考文献/References:

[ 1 ] XU B , FANG C , WATSON M D.Investigating new factors in cotton color grading [ J ] .Textile research journal , 1998 , 68 ( 11 ): 779-787.

[ 2 ] KHATRI D.Evaluation of the use of isotester in measuring cotton fiber properties [ D ] .Georgia State : The University of Georgia , 2005.
[ 3 ] RODGERS J , THIBOBEAUX D , CUI X , et al.Instrumental and operational impacts on spectrophotometer color measurements [ J ] .Journal of cotton science ,208 , 12 ( 3 ): 287-297.
[ 4 ] RODGERS L J , FORTIER C , CUI X L , et al.Preliminary assessments of portable color spectrophotometer measurements of cotton color [ C ]// Proceedings 2011 Beltwide Cotton Conferences , 2012 : 1313-1318.
[ 5 ] MATUSIAK M , WALAWSKA A.Important aspects of cotton colour measurement [ J ] .Fibres and textiles in eastern europe , 2010 , 18 ( 3 ): 17-23.
[ 6 ] CUI X L , CAI Y Y , RODGERS J , et al.An investigation into the intra-sample variation in the color of cotton using image analysis [ J ] .Textile research journal , 2014 , 84 ( 2 ): 214-222.
[ 7 ] MUSTAFIC A , LI C.Classification of cotton foreign matter using color features extracted from fluorescent images [ J ] .Textile research journal , 2015 , 85 ( 12 ):1209-1220.
[ 8 ] MATUS? IAK M , WALAWSKA A , SYBILSKA W. Comparison of spectrophotometric and digieye colour measurements of woven fabrics [ J ] .Tekstil ve konfeksiyon , 2017 , 27 ( 1 ): 53-59.
[ 9 ] KHAN N , VIK M , VIKOVA M.Color measurement of cotton samples with feasibility of traceable color standards [ C ]// Workshop Světlanka , 2015 : 22-25.
[ 10 ] VIK M , KHAN N , YILDIRIM B , et al.Non-contact method for measurement of colour variation in a cotton sample [ J ] .Fibres ang textiles in eastern europe , 2017 , 122 ( 2 ), 106-111.
[ 11 ] VIK M , KHAN N , VIKOVA M.LED utilization in cotton color measurement [ J ] .Journal of natural fibers , 2017 , 14 ( 4 ): 574-585.
[ 12 ] ABBASI A M R , VIK M , VIKOVA M.Color difference formulae evaluation by method of adjustment [ J ] .World journal of engineering , 2014 , 80 ( 3 )：89-94.
[ 13 ] HENG C , CHEN L , SHEN H , et al.Study on the measurement and evaluation of cotton color using image analysis [ J ] .Materials research express , 2020 , 7( 7 ): 075101.
[ 14 ] 衡冲,沈华,陈丽君,等 . 扫描仪在棉纤维颜色检测的适用性 [ J ] . 东华 大 学学 报(自 然科 学版),2020 , 46( 1 ): 29-34.

相似文献/References:

[1]乔爽,吴金波.改进的Otsu算法在缺陷检测中的应用[J].机械与电子,2016,(07):71.
　QIAO Shuang,WU Jinbo,[J].Machinery & Electronics,2016,(04):71.
[2]李 勋１,张伟军１,徐智卿２,等.狭小空间内孔高测量机器人设计及视觉定位方法研究[J].机械与电子,2019,(12):60.
　,,et al.Research on Design and Visual Positioning Method of Hole Height Measurement Robot in Narrow Space[J].Machinery & Electronics,2019,(04):60.
[3]吴广雨,张伟军,杨保佳.机器人视觉装配中的精确定位策略研究[J].机械与电子,2020,(03):75.
　,Research on AccuratePositioningMethod in RobotVisualAssembly System[J].Machinery & Electronics,2020,(04):75.
[4]薛鹏程,苏 宁,齐 峰,等.基于机器视觉的总段对接方法[J].机械与电子,2021,(04):3.
　XUE Pengcheng,SU Ning,Qi Feng,et al.Block Erecting Method Based on Machine Vision[J].Machinery & Electronics,2021,(04):3.
[5]邵悦辰,贡 亮,沈晓晔,等.基于机器视觉的FDM-3D快速成型异常工况监控系统[J].机械与电子,2021,(04):28.
　SHAO Yuechen,GONG Liang,SHEN Xiaoye,et al.Abnormal Working Condition Monitoring System in FDM-3D Rapid Prototyping Based on Machine Vision[J].Machinery & Electronics,2021,(04):28.
[6]卞越洋,高晓科,张伟军.机器人带电作业中的视觉定位与优化策略[J].机械与电子,2021,(05):57.
　BIAN Yueyang,GAO Xiaoke,ZHANG Weijun.Vision Positioning and Optimization Strategyin Robot Live Work[J].Machinery & Electronics,2021,(04):57.
[7]王 丹,杨家琪,杨谢柳.基于改进 Census 变换的图像立体匹配算法研究[J].机械与电子,2021,(05):62.
　WANG Dan,YANG Jiaqi,YANG Xieliu.Research on Image Stereo Matching Algorithm Based on Improved Census Transform[J].Machinery & Electronics,2021,(04):62.
[8]于学均１,闵 诚１,李振龙１,等.机器视觉及激光轮廓扫描的电流互感器外观信息自动识别算法[J].机械与电子,2021,(07):75.
　YU Xuejun,MIN Cheng,LI Zhenlong,et al.Automatic Recognition Algorithm of Current Transformer Appearance Information Based on Machine Vision and Laser Contour Scan[J].Machinery & Electronics,2021,(04):75.
[9]魏 哲,王 盼.面向珍珠分拣机器人的形状视觉检测方法[J].机械与电子,2021,(08):68.
　WEI Zhe,WANG Pan.Visual Inspection Method of Pearl Shape for Sorting Robot[J].Machinery & Electronics,2021,(04):68.
[10]黄 钰,陆永华,官文超,等.基于机器视觉与力控的发动机弯管焊缝自动化打磨系统研究[J].机械与电子,2024,42(02):45.
　HUANG Yu,LU Yonghua,GUAN Wenchao,et al.Research on Automatic Grinding System for Longitudinal Weld of Engine Elbow Pipes Based on Machine Vision and Force Control[J].Machinery & Electronics,2024,42(04):45.

备注/Memo

备注/Memo:
收稿日期: 2021-11-27
基金项目:国家自然科学基金青年科学基金资助项目( 61701384 );陕西省教育厅科学研究计划重点项目( 20JS051 )
作者简介:郭忠超 ( 1996- ),男,山西大同人,硕士研究生,研究方向为机器视觉、图像处理;张周强 ( 1983- ),男,陕西宝鸡人,博士,副教授,研究方向为机器视觉、光学检测等。
更新日期/Last Update: 2022-04-27