Review of Aircraft Skin Surface Defect Detection Methods Based on Machine Vision
Aircraft skin defects are one of the key factors affecting the normal operation of aircraft.Timely and accurate detection of aircraft skin defects can effectively avoid the occurrence of flight accidents.At present,the main detection methods for aircraft skin surface defects are visual detection or some contact detection methods,which have high misdetection rate and high risk.Detection meth-ods based on machine vision have received more attention recently because of their advantages such as fast detection speed,non-contact detection and high detection accuracy.This paper summarizes the existing detection methods of aircraft skin surface defects,and focuses on two kinds of defect detec-tion methods based on machine vision,namely the method based on traditional vision and the method based on deep learning,and analyzes its basic principles,advantages and disadvantages and related application algorithms in detail.Finally,the detection methods of aircraft skin surface defects based on machine vision were summarized,and its future development was prospected.
万方数据
维普
