Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine

Feature extraction and classification are two important steps in the process of strip steel surface defect recognition. Traditional methods of defect feature extraction are not of scale and rotation invariance. Moreover, traditional methods of defect classification have a conflict between efficiency...

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Veröffentlicht in:	ISIJ International 2014/07/15, Vol.54(7), pp.1638-1645
Hauptverfasser:	Chu, Maoxiang, Wang, Anna, Gong, Rongfen, Sha, Mo
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences classification Exact sciences and technology feature extraction GLGOCM GMGOCM LSTWSVM Metals. Metallurgy strip steel surface defect
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