Tire Tread Pattern Recognition and Feature Analyzing Based on Hu Moment
Fan Zhang, Puwang Li, Yongzhen Li, Yijun Liu, Ziming Yang
Available Online June 2017.
- https://doi.org/10.2991/gcmce-17.2017.24How to use a DOI?
- Tire Tread Pattern, Recognition, Feature Analyzing, Hu moment
- This paper aims to recognize the tire tread pattern from DXF (Drawing Interchange Format) file and to analyze its basis feature. A DXF file analyzing algorithm is used to obtain the data according to the formulate of DXF; a feature analyzing approach based on Hu moment is utilized to compute the seven characteristic moments and to confirm the invariance of pattern image under image rotation, scaling, and translation; a feature analyzing system is developed by Java to show the basic feature. The experimental results show that the proposed system has a good achievement and can get a series of ideal parameters for the further research.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fan Zhang AU - Puwang Li AU - Yongzhen Li AU - Yijun Liu AU - Ziming Yang PY - 2017/06 DA - 2017/06 TI - Tire Tread Pattern Recognition and Feature Analyzing Based on Hu Moment BT - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017) PB - Atlantis Press SP - 122 EP - 125 SN - 2352-5401 UR - https://doi.org/10.2991/gcmce-17.2017.24 DO - https://doi.org/10.2991/gcmce-17.2017.24 ID - Zhang2017/06 ER -