Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition
Abstract Weld defect recognition plays an important role in the manufacturing process of large-scale equipment. Traditional methods generally include several serial steps, such as image preprocessing, region segmentation, feature extraction, and type recognition. The results of each s...
Príomhchruthaitheoirí: | , , , , , , , |
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Rannpháirtithe: | |
Formáid: | Alt |
Teanga: | English |
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Springer Berlin Heidelberg
2021
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Rochtain ar líne: | https://hdl.handle.net/1721.1/136821 |