基于机器视觉的卷烟内衬纸光敏性差异分析
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摘要
目的研究卷烟不同内衬纸对光的敏感程度,为优化机器视觉检测精度以提高卷烟的包装质量提供参考依据。方法基于机器视觉技术,通过RGB和HSV颜色模式对不同颜色、类型内衬纸的光学反应参数进行测试,采用方差分析对光敏性进行差异显著性分析,确定显著程度后再进行相关性分析,得出不同内衬纸与光敏性的关系,并验证缺陷内衬纸的光敏性。结果不同颜色、类型内衬纸间的光敏性均存在显著性差异,其中R对颜色的光敏性影响最大,且与颜色呈显著正相关,光敏性强弱依次为:红色>浅金色>银色>金色。V对类型的光敏性影响最大,且与类型呈显著正相关,光敏性强弱依次为:压花复合铝箔型>普通转移型>直镀铝箔型>复合铝箔型>镭射型>真空镀铝转移型。结论不同卷烟内衬纸的光敏性均存在差异,在实际生产中,企业可针对不同品牌内衬纸优化光敏性范围,通过调整光学参数R,V进行缺陷内衬纸的判断与剔除。
The work aims to study photosensitivity of different cigarette liners and provide a reference for optimization of the accuracy of machine vision detection to improve cigarette packaging quality. Through RGB and HSV color modes, optical reaction parameters of different colors and types of liners were tested based on machine vision, and significance of difference was analyzed by regression variance analysis. After confirming the degree of significance, correlation analysis was performed to obtain the relationship between different liners and photosensitivity, and verify the photosensitivity of defective liner. There were significant differences in photosensitivity between cigarette liners of ent colors and types. Among them, R not only had the greatest influence on the photosensitivity in different colors, but also had a significant positive correlation with colors. Its photosensitivity was as follows: red>light gold> silver>gold. V not only had the greatest influence on the photosensitivity in different types, but also had a significant positive correlation with types. Its photosensitivity was as follows: embossed composite foil type>ordinary transfer type>direct aluminum-plated foil type>composite foil type>laser type>aluminum vacuum transfer type. There are differences in the photosensitivity of different cigarette liners. In actual production, companies can optimize the range of photosensitivity for different brands of cigarette liner, and adjust optical parameters R and V to judge and reject defective liner.
The work aims to study photosensitivity of different cigarette liners and provide a reference for optimization of the accuracy of machine vision detection to improve cigarette packaging quality. Through RGB and HSV color modes, optical reaction parameters of different colors and types of liners were tested based on machine vision, and significance of difference was analyzed by regression variance analysis. After confirming the degree of significance, correlation analysis was performed to obtain the relationship between different liners and photosensitivity, and verify the photosensitivity of defective liner. There were significant differences in photosensitivity between cigarette liners of ent colors and types. Among them, R not only had the greatest influence on the photosensitivity in different colors, but also had a significant positive correlation with colors. Its photosensitivity was as follows: red>light gold> silver>gold. V not only had the greatest influence on the photosensitivity in different types, but also had a significant positive correlation with types. Its photosensitivity was as follows: embossed composite foil type>ordinary transfer type>direct aluminum-plated foil type>composite foil type>laser type>aluminum vacuum transfer type. There are differences in the photosensitivity of different cigarette liners. In actual production, companies can optimize the range of photosensitivity for different brands of cigarette liner, and adjust optical parameters R and V to judge and reject defective liner.
引文
[1]王理珉,魏杰,胡群,等.卷烟包装材料的应用及发展趋势[J].中国包装工业,2004(9):36—41.WANG Li-min,WEI Jie,HU Qun,et al.Application and Development Trend of Cigarette Packaging Materials[J].China Packaging Industry,2004(9):36—41.
[2]龚修端,李小东.印刷品耐久性分析[J].包装工程,2017,38(3):187—191.GONG Xiu-duan,LI Xiao-dong.Durability Analysis of Printed Matter[J].Packaging Engineering,2017,38(3):187—191.
[3]RENEE W.Touching Tubs and Grabbing Gable-tops:an Editorial to the Special Issue on Human-packaging Interaction[J].Packaging Technology and Science,2016,29(12):603—606.
[4]刘润昌,何雪峰,陈婉,等.基于阻隔性的卷烟内衬材料应用性能研究[J].包装工程,2013,34(7):43—47.LIU Run-chang,HE Xue-feng,CHEN Wan,et al.Application Performance of Cigarette Lining Materials Based on Barrier Properties[J].Packaging Engineering,2013,34(7):43—47.
[5]王宝金,徐勇,陈朝春,等.食品包装纸铝复合内衬纸色偏差的影响因素研究[J].价值工程,2017,36(23):155—157.WANG Bao-jin,XU Yong,CHEN Chao-chun,et al.Effect of Factors on Paper Color Deviation of Aluminum Composite Liner in Food Packaging Paper[J].Value Engineering,2017,36(23):155—157.
[6]陈海需,衡耀付,李鲁阳,等.基于PLC的烟盒内衬纸缺陷检测系统[J].电子设计工程,2017,25(12):57—59.CHEN Hai-xu,HENG Yao-fu,LI Lu-yang,et al.PLC-based Detection System for Cigarette Liner Lining Paper Defects[J].Electronic Design Engineering,2017,25(12):57—59.
[7]陈宸,杨国涛,叶长文,等.不同类型烟用内衬纸的性能对比分析[J].中国造纸,2016,35(7):70—74.CHEN Chen,YANG Guo-tao,YE Chang-wen,et al.Comparative Analysis of Different Types of Cigarette Paper Lining Performance[J].China Papermaking,2016,35(7):70—74.
[8]牛国才.GDX2包装机烟包铝纸检测系统的开发与应用[C]//中国烟草学会2015年度优秀论文汇编,2015.NIU Guo-cai.Development and Application of Cigarette Pack Aluminum Paper Inspection System for GDX2 Packaging Machine[C]//2015 China Tobacco Institute 2015 Excellent Paper Compilation,2015.
[9]谢定海,单婧,方细玲,等.不同类型内衬纸的结构对比[J].科技视界,2015(7):267.XIE Ding-hai,SHAN Jing,FANG Xi-ling,et al.Structure Comparison of Different Types of Liner Paper[J].Science and Technology of Horizon,2015(7):267.
[10]MARTINEZ S S,ORTEGA J G,GARCIA J G,et al.A Machine Vision System for Defect Characterization on Transparent Parts with Non-plane Surfaces[J].Machine Vision&Applications,2012,23(1):1—13.
[11]黄跃永,金鑫,王德胜,等.基于工业触摸屏的烟包外观质量检测系统设计[J].科技视界,2015(26):326—327.HUANG Yue-yong,JIN Xin,WANG De-sheng,et al.Design of Smoke Detection System Based on Industrial Touch Screen[J].Science and Technology of Vision,2015(26):326—327.
[12]李朝栋.电视监控CCD摄像机与镜头的选用及配合[C]//99全国建筑电气设计情报网年会,1999.LI Chao-dong.TV Monitoring CCD Camera and Lens Selection and Cooperation[C]//99 National Building Electrical Design Information Network Annual Meeting,1999.
[13]ELANGO V,KARUNAMOORTHY L.Effect of Lighting Conditions in the Study of Surface Roughness by Machine Vision-An Experimental Design Approach[J].International Journal of Advanced Manufacturing Technology,2008,37(1/2):92—103.
[14]李晓,郑力文,何超,等.基于计算机视觉技术的梗丝形态表征方法[J].烟草科技,2016,49(7):84—90.LI Xiao,ZHENG Li-wen,HE Chao,et al.Based on Computer Vision Technology,the Method of Morphological Representation of Stem stalks[J].Tobacco Science and Technology,2016,49(7):84—90.
[15]陈毅,刘晓玉,蒋峥,等.基于RGB和HSV的胶囊异囊缺陷识别方法[J].计算机工程与设计,2014,35(11):3888—3892.CHEN Yi,LIU Xiao-yu,JIANG Zheng,et al.An Identification Method for Capsule Foreign Body Defect Based on RGB and HSV[J].Computer Engineering and Design,2014,35(11):3888—3892.
[16]邵宁,徐秀峰,万永华,等.卷烟烟丝结构分布及其与物理质量的关系[J].南方农业学报,2017,48(5):883—888.SHAO Ning,XU Xiu-feng,WAN Yong-hua,et al.Cut Tobacco Structure Distribution and Its Relation with Physical Quality[J].Journal of Southern Agriculture,2017,48(5):883—888.
[17]史媛芳,江治国.几种斑点检测算法及其性能比较[J].科技信息,2012(35):91—92.SHI Yuan-fang,JIANG Zhi-guo.Some Speckle Detection Algorithms and Their Performance Comparison[J].Science,2012(35):91—92.
[18]刘汉,宋鹏云,常韶飞,等.模式识别+阈值处理图像快速二值化[C]//动力学与控制学术会议,2016.LIU Han,SONG Peng-yun,CHANG Shao-fei,et al.Fast Binarization of Pattern Recognition+Threshold Processing[C]//Theory of Dynamics and Control,2016.
[2]龚修端,李小东.印刷品耐久性分析[J].包装工程,2017,38(3):187—191.GONG Xiu-duan,LI Xiao-dong.Durability Analysis of Printed Matter[J].Packaging Engineering,2017,38(3):187—191.
[3]RENEE W.Touching Tubs and Grabbing Gable-tops:an Editorial to the Special Issue on Human-packaging Interaction[J].Packaging Technology and Science,2016,29(12):603—606.
[4]刘润昌,何雪峰,陈婉,等.基于阻隔性的卷烟内衬材料应用性能研究[J].包装工程,2013,34(7):43—47.LIU Run-chang,HE Xue-feng,CHEN Wan,et al.Application Performance of Cigarette Lining Materials Based on Barrier Properties[J].Packaging Engineering,2013,34(7):43—47.
[5]王宝金,徐勇,陈朝春,等.食品包装纸铝复合内衬纸色偏差的影响因素研究[J].价值工程,2017,36(23):155—157.WANG Bao-jin,XU Yong,CHEN Chao-chun,et al.Effect of Factors on Paper Color Deviation of Aluminum Composite Liner in Food Packaging Paper[J].Value Engineering,2017,36(23):155—157.
[6]陈海需,衡耀付,李鲁阳,等.基于PLC的烟盒内衬纸缺陷检测系统[J].电子设计工程,2017,25(12):57—59.CHEN Hai-xu,HENG Yao-fu,LI Lu-yang,et al.PLC-based Detection System for Cigarette Liner Lining Paper Defects[J].Electronic Design Engineering,2017,25(12):57—59.
[7]陈宸,杨国涛,叶长文,等.不同类型烟用内衬纸的性能对比分析[J].中国造纸,2016,35(7):70—74.CHEN Chen,YANG Guo-tao,YE Chang-wen,et al.Comparative Analysis of Different Types of Cigarette Paper Lining Performance[J].China Papermaking,2016,35(7):70—74.
[8]牛国才.GDX2包装机烟包铝纸检测系统的开发与应用[C]//中国烟草学会2015年度优秀论文汇编,2015.NIU Guo-cai.Development and Application of Cigarette Pack Aluminum Paper Inspection System for GDX2 Packaging Machine[C]//2015 China Tobacco Institute 2015 Excellent Paper Compilation,2015.
[9]谢定海,单婧,方细玲,等.不同类型内衬纸的结构对比[J].科技视界,2015(7):267.XIE Ding-hai,SHAN Jing,FANG Xi-ling,et al.Structure Comparison of Different Types of Liner Paper[J].Science and Technology of Horizon,2015(7):267.
[10]MARTINEZ S S,ORTEGA J G,GARCIA J G,et al.A Machine Vision System for Defect Characterization on Transparent Parts with Non-plane Surfaces[J].Machine Vision&Applications,2012,23(1):1—13.
[11]黄跃永,金鑫,王德胜,等.基于工业触摸屏的烟包外观质量检测系统设计[J].科技视界,2015(26):326—327.HUANG Yue-yong,JIN Xin,WANG De-sheng,et al.Design of Smoke Detection System Based on Industrial Touch Screen[J].Science and Technology of Vision,2015(26):326—327.
[12]李朝栋.电视监控CCD摄像机与镜头的选用及配合[C]//99全国建筑电气设计情报网年会,1999.LI Chao-dong.TV Monitoring CCD Camera and Lens Selection and Cooperation[C]//99 National Building Electrical Design Information Network Annual Meeting,1999.
[13]ELANGO V,KARUNAMOORTHY L.Effect of Lighting Conditions in the Study of Surface Roughness by Machine Vision-An Experimental Design Approach[J].International Journal of Advanced Manufacturing Technology,2008,37(1/2):92—103.
[14]李晓,郑力文,何超,等.基于计算机视觉技术的梗丝形态表征方法[J].烟草科技,2016,49(7):84—90.LI Xiao,ZHENG Li-wen,HE Chao,et al.Based on Computer Vision Technology,the Method of Morphological Representation of Stem stalks[J].Tobacco Science and Technology,2016,49(7):84—90.
[15]陈毅,刘晓玉,蒋峥,等.基于RGB和HSV的胶囊异囊缺陷识别方法[J].计算机工程与设计,2014,35(11):3888—3892.CHEN Yi,LIU Xiao-yu,JIANG Zheng,et al.An Identification Method for Capsule Foreign Body Defect Based on RGB and HSV[J].Computer Engineering and Design,2014,35(11):3888—3892.
[16]邵宁,徐秀峰,万永华,等.卷烟烟丝结构分布及其与物理质量的关系[J].南方农业学报,2017,48(5):883—888.SHAO Ning,XU Xiu-feng,WAN Yong-hua,et al.Cut Tobacco Structure Distribution and Its Relation with Physical Quality[J].Journal of Southern Agriculture,2017,48(5):883—888.
[17]史媛芳,江治国.几种斑点检测算法及其性能比较[J].科技信息,2012(35):91—92.SHI Yuan-fang,JIANG Zhi-guo.Some Speckle Detection Algorithms and Their Performance Comparison[J].Science,2012(35):91—92.
[18]刘汉,宋鹏云,常韶飞,等.模式识别+阈值处理图像快速二值化[C]//动力学与控制学术会议,2016.LIU Han,SONG Peng-yun,CHANG Shao-fei,et al.Fast Binarization of Pattern Recognition+Threshold Processing[C]//Theory of Dynamics and Control,2016.