Improved PCB image stitching algorithm based on enhanced ORB

Yixiang Zhao; Jiande Su

doi:10.1117/12.3041021

11 September 2024 Improved PCB image stitching algorithm based on enhanced ORB

Yixiang Zhao, Jiande Su

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530G (2024) https://doi.org/10.1117/12.3041021
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

This paper proposes an image stitching algorithm based on improved ORB (Oriented FAST and Rotated BRIEF) features, aiming to enhance the efficiency and accuracy of PCB image registration. Firstly, feature points are extracted using the ORB algorithm, and BEBLID descriptors are introduced to improve description accuracy. Then, the NNDR algorithm is employed for coarse matching, followed by the construction of optimal geometric constraints based on feature point voting to further optimize the feature points. Subsequently, the RANSAC algorithm is utilized to compute a high-precision transformation matrix. Finally, the improved gradual fade-weighted fusion algorithm is applied to achieve image stitching, reducing the impact of overlap area shadows and obtaining high-quality stitched images. Experimental results demonstrate that the proposed algorithm exhibits good robustness and accuracy in handling PCB image stitching tasks, providing an effective solution for large-scale quality assessment and defect detection.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yixiang Zhao and Jiande Su "Improved PCB image stitching algorithm based on enhanced ORB", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530G (11 September 2024); https://doi.org/10.1117/12.3041021

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KEYWORDS

Image fusion

Image registration

Image quality

Image enhancement

Detection and tracking algorithms

Image processing

Mathematical optimization

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