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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Novel FOD Classification System Based on Visual Features
verfasst von : Zhenqi Han, Yuchun Fang, Haoyu Xu, Yandan Zheng
Erschienen in: Image and Graphics
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Abstract
In this paper, we propose a novel framework of Foreign Object Debris (FOD) classification system. The system contains a FOD detection subsystem, electro-optical subsystem and the control center. The system not only provides continuous surveillance of scanned surfaces and achieves the goal of FOD detection, but also performs FOD classification. Both low level features and subspace features are compared to extract the FOD. Multiclass classifiers are trained in all the candidate feature spaces with the Support Vector Machine (SVM) to classify FOD. Experimental results show that it is promising to classify FOD with low-level features.