Title :
Tread extraction using skeletonizing
Author :
Shih-Yen Huang; You-Jyun Syu; Wen-Yuan Chen
Author_Institution :
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taiwan Taichung
Abstract :
As an important car component, the tires rely on tread to increase grip force and achieve greater driving safety. However, tires are also a consumable; they wear off over time and long-term wear causes gradual functional degradation of tread leading to problems, such as slippage, tire explosions, and air leakage. Therefore, a technique to extract tread using skeletonizing of the smooth region (ETUS) is proposed in this study to overcome the weakness of the texture-based region of Interest (TBRI) algorithm [1].
Keywords :
"Tires","Histograms","Skeleton","Algorithm design and analysis","Image segmentation","Clustering algorithms","Classification algorithms"
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
DOI :
10.1109/FSKD.2015.7382207
