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• W2111298961 abstract "Image registration is a hot topic in the field of image processing, and it can be simplified as an optimization problem. The particle swam optimization (PSO) technique is an effective global convergence method, but its local search speed is slow. The sequential quadratic programming (SQP) method can solve a nonlinear programming problem quickly, but may be trapped into a local minimum. Therefore, we combined the two individual algorithms into a new PSOSQP algorithm. The digital experiments on 18 images demonstrate that the proposed method can achieve the closest solution to the true spatial transformation parameter, and it costs the least computation of only 1.0423s compared to GA, PSO, and ABC algorithms." @default.
• W2111298961 created "2016-06-24" @default.
• W2111298961 creator A5053309917 @default.
• W2111298961 creator A5071968752 @default.
• W2111298961 date "2012-01-08" @default.
• W2111298961 modified "2023-09-27" @default.
• W2111298961 title "Rigid Image Registration by PSOSQP Algorithm" @default.
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