激光与光电子学进展, 2019, 56 (9): 091501, 网络出版: 2019-07-05   

基于机器视觉的包装袋缺陷检测算法研究与应用 下载: 1536次

Machine-Vision Based Defect Detection Algorithm for Packaging Bags
作者单位
沈阳城市建设学院信息与控制工程系, 辽宁 沈阳 110167
引用该论文

李丹, 白国君, 金媛媛, 童艳. 基于机器视觉的包装袋缺陷检测算法研究与应用[J]. 激光与光电子学进展, 2019, 56(9): 091501.

Dan Li, Guojun Bai, Yuanyuan Jin, Yan Tong. Machine-Vision Based Defect Detection Algorithm for Packaging Bags[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091501.

参考文献

[1] 李辉, 侯雅单, 张玥, 等. 包装的感性设计方法探析[J]. 湖南包装, 2018, 33(3): 12-14, 39.

    Li H, Hou Y D, Zhang Y, et al. Analysis of the sensitive design method of packaging[J]. Hunan Packaging, 2018, 33(3): 12-14, 39.

[2] 谭惠. 情感化设计与包装文化内涵关系的思考[J]. 美术教育研究, 2016( 20): 39- 40.

    TanH. Thoughts on the relationship between emotional design and packaging culture[J]. Art Education Research, 2016( 20): 39- 40.

[3] Shanmugamani R, Sadique M, Ramamoorthy B. Detection and classification of surface defects of gun barrels using computer vision and machine learning[J]. Measurement, 2015, 60: 222-230.

[4] Celik H I, Dülger L C, Topalbekiroglu M. Development of a machine vision system: real-time fabric defect detection and classification with neural networks[J]. The Journal of the Textile Institute, 2014, 105(6): 575-585.

[5] 陈广锋, 管观洋, 魏鑫. 基于机器视觉的冲压件表面缺陷在线检测研究[J]. 激光与光电子学进展, 2018, 55(1): 011501.

    Chen G F, Guan G Y, Wei X. Online stamping parts surface defects detection based on machine vision[J]. Laser & Optoelectronics Progress, 2018, 55(1): 011501.

[6] 王泽润, 方益明, 冯海林, 等. 木材节子缺陷检测与定位方法[J]. 激光与光电子学进展, 2018, 55(5): 051501.

    Wang Z R, Fang Y M, Feng H L, et al. Method for wooden knot detection and localization[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051501.

[7] 王清晨, 景军锋, 张蕾, 等. 基于最优Gabor滤波器的牛仔布缺陷检测[J]. 激光与光电子学进展, 2018, 55(7): 071501.

    Wang Q C, Jing J F, Zhang L, et al. Denim defect detection based on optimal Gabor filter[J]. Laser & Optoelectronics Progress, 2018, 55(7): 071501.

[8] 李萌, 孙铁波. 基于机器视觉的食品包装缺陷检测研究[J]. 食品研究与开发, 2016, 37(24): 125-127.

    Li M, Sun T B. Research of food packaging defects detection based on machine vision[J]. Food Research and Development, 2016, 37(24): 125-127.

[9] 沈红雷. 基于机器视觉技术的塑料制品缺陷检测研究[J]. 塑料科技, 2016, 44(8): 89-92.

    Shen H L. Plastic products defect detection based on machine vision[J]. Plastics Science and Technology, 2016, 44(8): 89-92.

[10] 王强. 基于机器视觉的检测识别系统研究及应用[D]. 成都: 电子科技大学, 2010: 2.

    WangQ. Research and application of detection and recognition system based on machine vision[D]. Chengdu: University of Electronic Science and Technology of China, 2010: 2.

[11] 郑龙, 袁俊. 基于机器视觉的药品铝塑包装检测及应用[J]. 科技通报, 2018, 34(7): 174-177, 182.

    Zheng L, Yuan J. Aluminum-plastic drug packaging detection and application based on machine vision[J]. Bulletin of Science and Technology, 2018, 34(7): 174-177,182.

[12] 徐浪, 曾忠, 刘金赞, 等. 机器视觉在印刷缺陷在线检测中的应用与研究[J]. 计算机系统应用, 2013, 22(3): 186-190.

    Xu L, Zeng Z, Liu J Z, et al. Application and research of machine vision on on-line inspection for printed defect[J]. Computer Systems & Applications, 2013, 22(3): 186-190.

[13] 汪清芳. 基于机器视觉的标签缺陷检测系统设计与实现[D]. 成都: 电子科技大学, 2014: 40- 41.

    Wang QF. Design and implementation of label defect detection system based on machine vision[D]. Chengdu: University of Electronic Science and Technology of China, 2014: 40- 41.

[14] 简川霞, 高健. 手机玻璃屏表面缺陷视觉检测方法研究[J]. 包装工程, 2018, 39(5): 16-21.

    Jian C X, Gao J. Visual detection method for surface defect of mobile phone screen lass[J]. Packaging Engineering, 2018, 39(5): 16-21.

李丹, 白国君, 金媛媛, 童艳. 基于机器视觉的包装袋缺陷检测算法研究与应用[J]. 激光与光电子学进展, 2019, 56(9): 091501. Dan Li, Guojun Bai, Yuanyuan Jin, Yan Tong. Machine-Vision Based Defect Detection Algorithm for Packaging Bags[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091501.

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