基于熵选择互信息的图像配准

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI:10.1109/NAECON.2008.4806542

H. Karvir, J. A. Skipper, D. Repperger

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引用次数: 3

摘要

多模态成像系统需要复杂的配准程序。由于计算时间和不收敛问题，使用传统的基于互信息(MI)的注册是不切实际的。我们提出了选择性高熵MI计算的采样优化技术，作为实时应用的快速鲁棒图像配准方法。

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Entropy Selective Mutual Information-Based Image Registration

Multimodal imaging systems demand sophisticated registration routines. Due to computation time and non-convergence issues, the use of traditional mutual information (MI)-based registration is impractical. We propose our sampling optimization technique with selective high entropy MI computation as a rapid and robust image registration method for real-time applications.

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来源期刊

2008 IEEE National Aerospace and Electronics Conference

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