Convolutional Neural Network Defect Detection Algorithm for Wire Bonding X-ray Images

Convolutional Neural Network Defect Detection Algorithm for Wire Bonding X-ray Images

To address the challenges of complex backgrounds, small defect sizes, and diverse defect types in defect detection of wire bonding X-ray images, this paper proposes a convolutional-neural-network-based defect detection method called YOLO-CSS. This method designs a novel feature extraction network th...

Full description

Bibliographic Details
Main Authors: Daohua Zhan, Renbin Huang, Kunran Yi, Xiuding Yang, Zhuohao Shi, Ruinan Lin, Jian Lin, Han Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Micromachines
Subjects:
convolutional neural network
X-ray images
wire bonding defects
YOLO-CSS
Online Access:https://www.mdpi.com/2072-666X/14/9/1737

Internet

https://www.mdpi.com/2072-666X/14/9/1737

Similar Items