Abstract
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.
| Translated title of the contribution | Recognition method for complex tube structures based on local shape feature |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 598-606 |
| Number of pages | 9 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 25 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2019 |