Defect segmentation algorithm for copper pipe soldering in X-ray images based on AM-TransUNet

In the X-ray digital images of soldered copper pipes with small diameters, the significant variations in size, shape, and contrast of soldering defect images make it difficult to achieve automatic defect recognition. To address this issue, an improved defect segmentation model, namely AM-TransUNet,...

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Autori principali:	Lihua YANG, Jinxian ZHAO, Jinxiao LI, Haichun LIU, Qingsheng LI, Tao JIA, Dazhao CHI
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Editorial Office of Transactions of the China Welding Institution, Welding Journals Publishing House 2025-07-01
Serie:	Hanjie xuebao
Soggetti:	copper pipe with small diameter soldering defect x-ray testing deep learning defect segmentation
Accesso online:	https://doi.org/10.12073/j.hjxb.20241016001
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