A refined algorithm for multisensor image registration based on pixel migration.

Jianchao Yao; Kian Liong Goh

doi:10.1109/tip.2006.873451

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A refined algorithm for multisensor image registration based on pixel migration.

Jianchao Yao·Kian Liong Goh

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Abstract

Multimodality image registration via pixel migration is a powerful approach. However, it suffers from a serious problem--the global maximum on the sum of squared gradient magnitude (SSG) surface does not correspond to the correct solution of registration. To solve the problem, we partition the search space into feasible and infeasible regions. The genetic algorithm (global optimizer) is used to obtain a good initial estimate of registration parameters and followed by a fast refining with Powell's approach (local optimizer). The experimental results demonstrate that the use of this modified pixel migration algorithm on multisensor image registration is very effective.

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Algorithms Artificial Intelligence Computer Simulation Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Models, Biological Models, Statistical Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Transducers Comparative Study Journal Article

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Jianchao Yao, Kian Liong Goh. 2006. A refined algorithm for multisensor image registration based on pixel migration.. https://doi.org/10.1109/tip.2006.873451

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