Tire Tread Pattern Recognition and Feature Analyzing Based on Hu Moment

DOI

10.2991/gcmce-17.2017.24How to use a DOI?

Keywords

Tire Tread Pattern, Recognition, Feature Analyzing, Hu moment

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/gcmce-17.2017.24
ID  - Zhang2017/06
ER  -