Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency

被引:10
|
作者
Sun J. [1 ,2 ]
Wang P. [1 ]
Luo Y.-K. [1 ]
Hao G.-M. [1 ]
Qiao H. [1 ]
机构
[1] Institute of Automation, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
基金
中国国家自然科学基金;
关键词
calibration; salient region estimation; top-down and bottom-up saliency (TBS); visual measurement; Work-pieces detection;
D O I
10.1007/s11633-018-1123-1
中图分类号
学科分类号
摘要
In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based on the prior knowledge of workpieces is presented, in which the contour of a work-piece is chosen as the major feature and the corresponding template of the edges is created. Secondly, a bottom-up salient region estimation algorithm is proposed, where the image boundaries are labelled as background queries, and the salient region can be detected by computing contrast against image boundary. Finally, the calibration method for vision system with telecentric lens is discussed, and the dimensions of the work-pieces are measured. In addition, strategies such as image pyramids and a stopping criterion are adopted to speed-up the algorithm. An automatic system embedded with the proposed detection and measurement algorithm combining top-down and bottom-up saliency (DM-TBS) is designed to pick out defective work-pieces without any manual auxiliary. Experiments and results demonstrate the effectiveness of the proposed method. © 2018, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:417 / 430
页数:13
相关论文
共 50 条
  • [41] Medezeggenschap: top-down en bottom-up
    Astrid van de Weijenberg
    Management Kinderopvang, 2016, 22 (1): : 24 - 26
  • [42] Top-Down versus Bottom-Up Macroeconomics
    De Grauwe, Paul
    CESIFO ECONOMIC STUDIES, 2010, 56 (04) : 465 - 497
  • [43] IMPLEMENTING DIVERSITY: TOP-DOWN AND BOTTOM-UP
    Lievens, S.
    ICERI2016: 9TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION, 2016, : 4650 - 4650
  • [44] Top-down bottom-up graphene synthesis
    Zhang, Zishuai
    Fraser, Alison
    Ye, Siyu
    Merle, Geraldine
    Barralet, Jake
    NANO FUTURES, 2019, 3 (04)
  • [45] Bottom-up and top-down attention are independent
    Pinto, Yair
    van der Leij, Andries R.
    Sligte, Ilja G.
    Lamme, Victor A. F.
    Scholte, H. Steven
    JOURNAL OF VISION, 2013, 13 (03): : 16
  • [46] Visual search: Bottom-up or top-down?
    Patel, GA
    Sathian, K
    FRONTIERS IN BIOSCIENCE, 2000, 5 : D169 - D193
  • [47] Top-down and bottom-up quality management
    Hurst, Keith
    INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE, 2010, 23 (07) : 16 - 17
  • [48] Top-down and bottom-up research in biodemography
    Kaplan, Hillard
    Gurven, Michael
    DEMOGRAPHIC RESEARCH, 2008, 19 : 1587 - 1602
  • [49] Bottom-Up and Top-Down Graph Pooling
    Yang, Jia-Qi
    Zhan, De-Chuan
    Li, Xin-Chun
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT II, 2020, 12085 : 568 - 579
  • [50] When bottom-up meets top-down
    Dittrich, W
    TRENDS IN COGNITIVE SCIENCES, 2001, 5 (04) : 137 - 137