Hunan University

Ziming Tao

Yaonan Wang

Hui Zhang

Jianxu Mao

He Xie

Qing Zhu

Caiping Liu

Junfei Yi

Kai Zeng

Xian'en Zhou

Min Liu

Disclosed in the present invention is a neural network-based defect detection method for gluing quality on aircraft skin. The method includes: data acquisition: taking photos of aircraft skin by using a camera to acquire image data; preprocessing the acquired image data; annotating the data by using annotation software to acquire a data set for network training; establishing a defect detection network model based on feature erasure and boundary refinement, where the defect detection network model includes a feature extraction network, a semantic-guided feature erasure module, a multi-scale feature fusion network, and a defect prediction network based on boundary refinement, which are sequentially connected, the data set is used for training the network model, and trained model parameters are saved; and detecting a directly collected skin gluing image by using the trained network model and outputting detection results.

Neural network-based defect detection method for gluing quality on aircraft skin

Growing community of inventors

Changsha, China

Ziming Tao