Semantic Segmentation Network for Surface Defect Detection of Automobile Wheel Hub Fusing High-Resolution Feature and Multi-Scale Feature

Semantic Segmentation Network for Surface Defect Detection of Automobile Wheel Hub Fusing High-Resolution Feature and Multi-Scale Feature

Surface defect detection of an automobile wheel hub is important to the automobile industry because these defects directly affect the safety and appearance of automobiles. At present, surface defect detection networks based on convolutional neural network use many pooling layers when extracting feat...

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Détails bibliographiques
Auteurs principaux: Chaowei Tang, Xinxin Feng, Haotian Wen, Xu Zhou, Yanqing Shao, Xiaoli Zhou, Baojin Huang, Yunzhen Li
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
high-resolution network
optical flow
semantic segmentation
automobile wheel hub
surface defect detection
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Accès en ligne:https://doaj.org/article/21793a93a16947cbab79ae8476842677
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https://doaj.org/article/21793a93a16947cbab79ae8476842677

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