Deep Learning Neural Network-Based Detection of Wafer Marking Character Recognition in Complex Backgrounds
Wafer characters are used to record the transfer of important information in industrial production and inspection. Wafer character recognition is usually used in the traditional template matching method. However, the accuracy and robustness of the template matching method for detecting complex image...
Main Authors: | Yufan Zhao, Jun Xie, Peiyu He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/20/4293 |
Similar Items
-
SGR-YOLO: a method for detecting seed germination rate in wild rice
by: Qiong Yao, et al.
Published: (2024-01-01) -
Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5
by: Shuyi Guo, et al.
Published: (2022-06-01) -
Multi-Scale Forest Fire Recognition Model Based on Improved YOLOv5s
by: Gong Chen, et al.
Published: (2023-02-01) -
Surface Defect Detection With Channel-Spatial Attention Modules and Bi-Directional Feature Pyramid
by: Haitao Xin, et al.
Published: (2023-01-01) -
SSP based underwater CIR estimation with S-BiFPN
by: Seunghwan Seol, et al.
Published: (2022-03-01)