基于改进YOLOv8的PCB焊点语义分割方法OA
Semantic Segmentation Method for PCB Solder Joint Based on Improved YOLOv8
针对具有相似灰度值的印制电路板(Printed Circuit Board,PCB)焊点在检测分割过程中的误检和漏检问题,提出改进YOLOv8的PCB焊锡语义分割模型.在主干网络引入坐标注意力(Coordinate Attention,CA)机制,准确定位焊点空间位置,提升模型捕捉焊点空间信息能力;使用双向特征金字塔网络(Bi-directional Feature Pyramid Network,BiFPN)替换路径聚合网络(Path Aggr…查看全部>>
Aiming at the problem of false detection and missing detection of Printed Circuit Board(PCB)solder joints with similar gray values in the process of detection and segmentation,a semantic segmentation model for PCB solder based on improved YOLOv8 is proposed.Firstly,Coordinate Attention(CA)mechanism is introduced into the backbone network to accurately locate the spatial position of solder joints and to improve the ability of the model to capture the spatial …查看全部>>
卢子册;刘小芳;王德伟
四川轻化工大学自动化与信息工程学院,四川宜宾 644002四川轻化工大学计算机科学与工程学院,四川宜宾 644002四川轻化工大学计算机科学与工程学院,四川宜宾 644002
计算机与自动化
YOLOv8语义分割坐标注意力机制双向特征金字塔网络EIoU损失函数
YOLOv8semantic segmentationCA mechanismBiFPNEIoU loss function
《无线电工程》 2024 (7)
1614-1621,8
评论