PENG Li-ke, FANG Xi-ling, LIU Dan, et al. Method for cigarette packing size measurement based on computer vision[J]. Journal of Light Industry, 2015, 30(3-4): 64-68. doi: 10.3969/j.issn.2095-476X.2015.3/4.014
Citation:
PENG Li-ke, FANG Xi-ling, LIU Dan, et al. Method for cigarette packing size measurement based on computer vision[J]. Journal of Light Industry, 2015, 30(3-4): 64-68.
doi:
10.3969/j.issn.2095-476X.2015.3/4.014
Method for cigarette packing size measurement based on computer vision
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PENG Li-ke
1
,
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FANG Xi-ling
2
,
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LIU Dan
2
,
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ZHANG Long
3
,
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LI Zhi-gang
3
,
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YAN Long
3
,
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HUA Chang-yi
3
,
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LIU Yong
3
,
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LI Xu-hua
2,,
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Economic Operation Department, State Tobacco Monopoly Administration, Beijing 100045, China;
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Technology Centre, China Tobacco Guangdong Industrial Co., Ltd., Guangzhou 510610, China;
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Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
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Corresponding author:
LI Xu-hua,
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Received Date:
2014-09-30
Available Online:
2015-09-15
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Abstract
In order to achieve the non-contact measurement of cigarette packing size, a size measuring method based on dual structured light was proposed.The dual structured light which crossed with a certain angle was used to scan the cigarette packing.The CCD camera was used to obtain reflection images of structured light in each rotation angle on cigarette packing.According to the conversion relationship between world coordinate system, structured light coordinate system and image coordinate system, the surface characteristics of the case was calculated from the deformation feature of structured light.Then, the size of the circumscribed cuboid from 3D point cloud was calculated.The experimental results showed that the measuring accuracy and the standard deviation of the method could meet the actual demand for testing,improving the measurement efficiency and accuracy effectively,providing an effective method of automatic measurement for cigarette packing size measurement.
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References
-
[1]
刘朝营,许自成,闫铁军.机器视觉技术在烟草行业的应用状况[J].中国农业科技导报,2011,13(4):79.
-
[2]
夏营威.基于计算机视觉的烟草检测方法与系统研究[D].合肥:中国科学院合肥物质科学研究院,2012.
-
[3]
刘枝梅, 邓文怡, 娄小平.结构光测量系统中光条中心的提取算法[J].北京机械工业学院学报, 2009,24(1):42.
-
[4]
陈晨,黄欢.基于数字图像处理的棒材自动统计方法[J].郑州轻工业学院学报:自然科学版,2012,27(1):73.
-
[5]
方隽,张乐年,郑启旺.机器视觉在烟条外包装检测系统中的应用[J].机械制造与自动化,2009(5):138.
-
[6]
马丽娜,曹新德.基于图像处理技术的车型自动识别系统设计[J].郑州轻工业学院学报:自然科学版,2011,26(3):42.
-
[7]
Xie J, Huang S H, Duan Z C,et al.Correction of the image distortion for laser galvanometric scanning system[J].Optics and Laser Technology,2005,37(4):305.
-
[8]
魏宝刚,鲁东明,潘云鹤,等.多颜色空间上的交互式图像分割[J].计算机学报,2001,24(7):770.
-
[9]
Hough P V C.Method and means for recognizing complex patterns[P].US:3069654, 1962-12-18.
-
[10]
曾接贤, 张桂梅, 储珺, 等.霍夫变换在指数函数型曲线检测中的应用[J].中国图象图形学报, 2005,10(2):236.
-
[11]
李银华,路新惠.改进型自适应中值滤波算法在图像处理中的应用[J].郑州轻工业学院学报:自然科学版,2009,24(1):83.
-
[12]
Kaihara Y, Kihara T, Kakayama A,et al.Accuracy of a non contact 3D measuring system for dental model analysis[J].Pediatric Dental Journal, 2013,23(2):71.
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