A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测)
Surface defect detection is crucial for ensuring product performance, quality, aesthetics, and production efficiency. Despite rapid advancements in artificial intelligence in the field of visual inspection, developing machine vision learning based on biological visual cognition remains a challenging...
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| Main Authors: | 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang) |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Zhejiang University Press
2025-01-01
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| Series: | Zhejiang Daxue xuebao. Lixue ban |
| Subjects: | |
| Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2025.01.005 |
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