Optoelectronics Letters

, Volume 15, Issue 2, pp 151–155 | Cite as

Furniture board segmentation based on multiple sensors and integer programming model

  • Jian-shuang Guo (郭建双)Email author
  • Jian-hua Zhang (张剑华)
  • Shao-bo Zhang (张少波)
  • Jia-wei Chen (陈嘉伟)
  • Sheng Liu (刘盛)


In the current furniture production line, the level of automation in the stage of loading and unloading is not high enough. In order to improve its automation, a novel integer programming based method for automatically segmenting board is proposed and a multi-sensor configuration is given. In such a configuration, we include multiple cameras and Lidar sensors. The cameras attached on each board are used to collect quick response (QR) code information, while Lidar sensors can obtain each board’s contours information. We then formulate each board’s segmentation as the integer programming problem. The experimental results show that our method can achieve a very high segmentation accuracy of 95% on average.

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  1. [1]
    L Ping, L. I., Chen Q. Y., Duan X. Y., Chen H., Deng Z. W. and Liao F., Mechanical & Electrical Engineering Technology 45, 4 (2016). (in Chinese)Google Scholar
  2. [2]
    Gao-De WU, Jun-Hua C., Jian-Mn Z., Jian-Qiang MA, Nian-Fu L. and Fu Z., Transducer & Microsystem Technologies 36, 157 (2017). (in Chinese)Google Scholar
  3. [3]
    Bin LI and B. Luo, Transducer & Microsystem Technologies 35, 150 (2016). (in Chinese)Google Scholar
  4. [4]
    Lima J., F Simões, Uchiyama H., Teichrieb V. and Marchand E., Machine Vision & Applications 27, 1 (2016).CrossRefGoogle Scholar
  5. [5]
    Achanta R., Shaji A., Smith K., Lucchi A., Fua P. and Süsstrunk S., SLIC superpixels, Switzerland: EPFL, 2010.Google Scholar
  6. [6]
    Roy A. and Todorovic S., A Multi-scale CNN for Affordance Segmentation in RGB Images, European Conference on Computer Vision, Springer International Publishing, 186 (2016).Google Scholar
  7. [7]
    Wang J., Wang Z., Tao D., See S. and Wang G., Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks, European Conference on Computer Vision, Springer International Publishing, 664 (2016).Google Scholar
  8. [8]
    Arbelaez Pablo, Maire Michael, Fowlkes Charless and Malik Jitendra, IEEE Transactions on Pattern Analysis and Machine Intelligence 33, 898 (2011).CrossRefGoogle Scholar
  9. [9]
    Xiang Fang and Wang Hongfu, Computer Simulation 28, 280 (2011). (in Chinese)Google Scholar
  10. [10]
    WANG Jing, ZHENG Yong-guo, PAN Zhen-kuan, ZHANG Wei-zhong and WANG Guo-dong, Optoelectronics Letters 11, 307 (2015).ADSCrossRefGoogle Scholar
  11. [11]
    GENG Hui-qiang, ZHANG Hua, XUE Yan-bing, ZHOU Mian, XU Guang-ping and GAO Zan, Optoelectronics Letters 13, 381 (2017).ADSCrossRefGoogle Scholar
  12. [12]
    WANG Xiao-peng, ZHANG Wen and CUI Ying, Optoelectronics Letters 11, 395 (2015).ADSCrossRefGoogle Scholar
  13. [13]
    Liu W., Anguelov D., Erhan D., Szegedy C., Reed S. and Fu C.Y., SSD: Single Shot MultiBox Detector, 21 (2015).Google Scholar
  14. [14]
  15. [15]
    Alves C., Clautiaux F., Carvalho J.V.D. and Rietz J., Linear and Integer Programming, Dual-Feasible Functions for Integer Programming and Combinatorial Optimization, Springer International Publishing, 1065 (2016).CrossRefzbMATHGoogle Scholar
  16. [16]
    Basu A., Conforti M., Summa M.D. and Paat J., The Structure of the Infinite Models in Integer Programming, International Conference on Integer Programming and Combinatorial Optimization, Springer, Cham, 63 (2017).Google Scholar
  17. [17]
    Sun Xiaoling and Li Duan, Integer Programming, Science Press, 2011. (in Chinese)zbMATHGoogle Scholar
  18. [18]
    Jia Y., Shelhamer E., Donahue J., Karayev S., Long J. and Girshick R., Caffe: Convolutional Architecture for Fast Feature Embedding, 675 (2014).Google Scholar

Copyright information

© Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Jian-shuang Guo (郭建双)
    • 1
    Email author
  • Jian-hua Zhang (张剑华)
    • 1
  • Shao-bo Zhang (张少波)
    • 1
  • Jia-wei Chen (陈嘉伟)
    • 1
  • Sheng Liu (刘盛)
    • 1
  1. 1.College of Computer Science and TechnologyZhejiang University of TechnologyHangzhouChina

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