Stable principal component pursuit-based thermographic data analysis for defect detection in polymer composites

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• 作者：Zhengbing Yan^a ; Chun-Yu Chen^b ; Linkai Luo^b ; Yuan Yao^b ; ^{yyao@mx.nthu.edu.tw}
• 关键词：Defect detection ; Stable principal component pursuit ; Thermal image analysis ; Polymer composites
• 刊名：Journal of Process Control
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：49
• 期：Complete
• 页码：36-44
• 全文大小：11474 K
• 卷排序：49

文摘

An SPCP-based thermographic data analysis method is proposed for defect detection. The proposed method is integrated with a moving-window strategy. Noise and non-uniform backgrounds contained in thermal images are largely removed. Better defect detection results are achieved using the proposed method.