Distortion correction algorithm based on GPSO and improved LM

Zexuan Chen; Lan Wang

doi:10.1117/12.2671056

28 April 2023 Distortion correction algorithm based on GPSO and improved LM

Zexuan Chen, Lan Wang

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126105K (2023) https://doi.org/10.1117/12.2671056
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In optical cameras, there are deviations in the manufacturing process and assembly accuracy of image sensors, lenses and other related components, which will produce various forms of image distortions, seriously affecting the application and development of Computer Vision (CV) in real life. In order to solve these problems, a hybrid solution algorithm (GPSO-ILM) based on Global Particle Swarm Optimization (GPSO) and improved Levenberg-Marquardt (LM) is proposed on the basis of Homography Transformation, which transforms the solution of nonlinear distortion equations into a parameter optimization problem and can quickly iterate to obtain the optimal solution of the target function. It can effectively avoid the problems that traditional LM depends on initial values and is easy to fall into local convergence. In order to verify the effectiveness of the algorithm, the improved GPSO-ILM method is compared with the Tasi method of two-steps and traditional Zhang's correction method in OpenCV. The experimental results show that the RMSE errors of the improved GPSO-ILM method are relatively reduced by more than 23% and 18%, and the processing time is saved by about 25%. Compared with other methods, this method has higher correction accuracy and faster processing efficiency.

Citation Download Citation

Zexuan Chen and Lan Wang "Distortion correction algorithm based on GPSO and improved LM", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126105K (28 April 2023); https://doi.org/10.1117/12.2671056

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KEYWORDS

Distortion

Image processing

Cameras

Image sensors

Particle swarm optimization

Imaging systems

Manufacturing

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