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Worm surface defect detection with fusion of multi-scale features
Information Sciences | 更新时间：2024-07-10

    • Worm surface defect detection with fusion of multi-scale features

    • “In the field of automated detection, researchers have designed a worm defect acquisition system based on machine vision, improved the YOLOv7 algorithm, introduced data augmentation, attention mechanism, and SIOU loss function, significantly improved detection accuracy, and provided an efficient solution for automatic detection of worm surface defects.”
    • Optics and Precision Engineering   Vol. 32, Issue 11, Pages: 1746-1758(2024)

    • DOI：10.37188/OPE.20243211.1746    

      CLC： TP394.1;TH691.9

    • Received：08 January 2024，

      Revised：20 February 2024，

      Published：10 June 2024

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  • WANG Lei,GUO Wenping,CHEN Xinwei,et al.Worm surface defect detection with fusion of multi-scale features[J].Optics and Precision Engineering,2024,32(11):1746-1758. DOI： 10.37188/OPE.20243211.1746.

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WANG Lei
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