Research Article
PCB Large Color Variation Image Registration with Local Optimization LoFTR
@INPROCEEDINGS{10.1007/978-3-031-71716-1_4, author={Yingyan Hou and Yidan Zhang and Xiaoxuan Liu and Hui Wu and Jie Jia and Xiaohe Li and Shixiong Liu and Lei Wang and Xinyu Zhao}, title={PCB Large Color Variation Image Registration with Local Optimization LoFTR}, proceedings={Machine Learning and Intelligent Communication. 8th EAI International Conference, MLICOM 2023, Beijing, China, December 17, 2023, Proceedings}, proceedings_a={MLICOM}, year={2024}, month={9}, keywords={Printed circuit board Image registration Feature matching}, doi={10.1007/978-3-031-71716-1_4} }- Yingyan Hou
Yidan Zhang
Xiaoxuan Liu
Hui Wu
Jie Jia
Xiaohe Li
Shixiong Liu
Lei Wang
Xinyu Zhao
Year: 2024
PCB Large Color Variation Image Registration with Local Optimization LoFTR
MLICOM
Springer
DOI: 10.1007/978-3-031-71716-1_4
Abstract
For the detection of Printed Circuit Board (PCB) defects with large color variations and large sizes, the traditional PCB image registration algorithm suffers from the problems of long time consumption and low accuracy, and the large color variation also interferes with the registration algorithm. We propose an image registration method for PCB with large color differences and large sizes to solve the problem that PCB image registration is easy to misalign. First, the large color variation problem of PCB images is corrected by the region-based color correction algorithm. Then, a local optimization feature matching algorithm is proposed for PCB image feature matching in response to the problem that the LoFTR algorithm loses the first window vector information. Finally, the MAGSAC++ algorithm is used to match PCB images. Experimental results show that the traditional feature matching algorithm is difficult to use for large-size PCB image registration, while the PCB registration method proposed in this paper has higher accuracy compared with the LoFTR algorithm, and further improves the registration accuracy by the region-based color correction algorithm.
