Spaceflight electronic welding spot defect detection method based on improved Tiny-YOLOv3 network
The invention belongs to the related technical field of defect detection and discloses a spaceflight electronic welding spot defect detection method based on an improved Tiny-YOLOv3 network. The detection method comprises the following steps of (1) enhancing a network layer for feature extraction in...
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| creator | ZHANG XUNING HUANG LEI MENG LINGQIANG LIAO GUANGLAN FU GUANGHUI SUN BO ZHAO JIDING HAN HANGDI SI SHUNCHENG HAN JINGHUI |
| description | The invention belongs to the related technical field of defect detection and discloses a spaceflight electronic welding spot defect detection method based on an improved Tiny-YOLOv3 network. The detection method comprises the following steps of (1) enhancing a network layer for feature extraction in Tiny_YOLOv3 by using a Mobileet network, replacing seven convolution and maximum pooling network layers in a Tiny _ YOLOv3 backbone network by using a lightweight network Mobileet to obtain an improved Tiny_YOLOv3 network; (2) inputting a welding spot infrared image with a known defect type into the improved Tiny_YOLOv3 network as a training data set of a sample so as to train and learn the improved Tiny_YOLOv3 network, thereby obtaining an improved Tiny _ YOLOv3 network model; and (3) inputting the infrared image of the welding spot sample to be detected into the improved Tiny_YOLOv3 network model so as to complete the detection of the welding spot defects. The spaceflight electronic welding spot defect detection |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Spaceflight electronic welding spot defect detection method based on improved Tiny-YOLOv3 network |
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