Visual inspection is the primary means of non-destructive testing of civil aircraft skin surfaces but it may lead to the inability to detect due to human factors and bad weather. We propose an automatic recognition method for aircraft surface defects based on histogram of oriented gradient (HOG) and analyze three typical types of failures: scratches, corrosion, and paint detachment. The experimental results show that this method has good detection accuracy and has strong application potential.
Civil aircraft surface defects detection based on histogram of oriented gradient
2019-10-01
402382 byte
Conference paper
Electronic Resource
English
Gradient histogram: Thresholding in a region of interest for edge detection
British Library Online Contents | 2010
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