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English(EN) From Full Boards to Tiny Defects: Scale-Aware Tile Inference with Topology-Aware Merging for High-Resolution PCB Defect Detection

新方法通过尺度感知切片改进 PCB 缺陷检测

研究人员开发了一种用于检测高分辨率印刷电路板 (PCB) 缺陷的新方法,该方法解决了尺度和切片边界问题。他们的方法包括在切片裁剪图上进行训练,而不是在整板图像上训练,以保留细节,从而显著提高了检测精度。此外,还引入了一种称为拓扑感知切片合并 (TA-TM) 的后处理技术,用于协调跨切片边缘的检测结果,在无需重新训练的情况下提高了小缺陷的召回率和整体性能。 AI

影响 这项研究为改进制造业中的自动化视觉检测提供了一种新颖的方法,有望提高电子元件的可靠质量控制。

排序理由 这是一篇详细介绍解决特定技术问题的新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新方法通过尺度感知切片改进 PCB 缺陷检测

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这是一篇详细介绍解决特定技术问题的新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Ali Amini, Jiann Shiun Yuan ·

    从完整板到微小缺陷:具有拓扑感知合并功能的可感知尺度瓷砖推理,用于高分辨率 PCB 缺陷检测

    arXiv:2605.24726v1 Announce Type: new Abstract: High-resolution printed circuit board (PCB) inspection suffers from resolution collapse when full-board images are resized to standard detector inputs: micro-scale defects shrink to a few pixels and are missed. Tile-based inference …