基于局部轮廓形状特征的复杂管路结构识别方法

Hao Huang, Shaoli Liu*, Jianhua Liu, Xiao Wang, Peng Jin

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

To solve the problem of automatic tube structure recognition, a recognition method for complex tube structures based on local shape feature was proposed. The recognition method first obtained the different tube structures' shape. Then the obtained shape was converted to a signal by shape descriptor. Batches of signal samples was collected and applied to train a BP neural network to classify the different tube structures. The training experiments showed that the recognition method had accuracy in 97%. In a certain application, multi-cameras were applied to recognize the tube structures and a voting method was also applied to increase the accuracy, which could be applied to reconstruct and measure multi-branch tubes automatically.

投稿的翻译标题Recognition method for complex tube structures based on local shape feature
源语言繁体中文
页(从-至)598-606
页数9
期刊Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
25
3
DOI
出版状态已出版 - 1 3月 2019

关键词

  • Back propagation
  • Local shape feature
  • Machine vision
  • Neural network
  • Shape descriptor
  • Tube measurement
  • Tube structures

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