Intelligent evaluation of X-ray crack image of aircraft structure
In the process of aircraft structure X-ray images evaluation,there are some problems such as inaccurate crack segmentation and difficult crack detection under complex background.An intelligent evaluation model(ELAN-Seg)for X-ray crack images of aircraft structures is proposed based on efficient layer aggregation net-work.The ELAN-Seg model is compared with the DeepLabv3+ model in the crack segmentation ability of the X-ray images.Combined with image processing technology,the crack length of model segmentation is evaluated,and the model is verified by X-ray images acquired during aircraft strength test and field maintenance.The results show that the segmented minimum crack length is about 3 mm,the ELAN-Seg model is more accurate in crack segmen-tation of complex background X-ray images,and the crack detection rate is less than 3.8%.The proposed model has engineering applicability.
万方数据
维普
