DocumentCode
3700245
Title
Texture feature extraction of steel strip surface defect based on gray level co-occurrence matrix
Author
Ying-Jun Guo;Zi-Jun Sun;He-Xu Sun;Xue-Ling Song
Author_Institution
School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050054, China
Volume
1
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
217
Lastpage
221
Abstract
To extract the texture features of forehead wrinkles, edge crack and other four kinds of typical defects of steel strip, we propose a feature extraction method based on gray level co-occurrence matrix(GLCM). Matlab simulation achieved that using four-dimensional parameters characteristic to describe the texture feature of steel strip defects. The results show that feature parameters of GLCM can describe the texture information of strip image effectively and can classify these four kinds of defects.
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
Type
conf
DOI
10.1109/ICMLC.2015.7340925
Filename
7340925
Link To Document