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Robust CCD and IR Image Registration Using Gradient-Based Statistical Information
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DOI：10.1109/LSP.2010.2040928.png)
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This letter presents a robust similarity measure for registering charged-couple device (CCD) and infrared (IR) images. The measure is based on the entropy obtained from a 3-D joint histogram incorporating edginess and modified generalized gradient vector flow (GGVF). To make a reliable mapping relationship between the edge regions of two images, the concept of edginess was adopted so registration performance would be affected mainly by gradient existences rather than their magnitudes. In addition, by adopting the GGVF, we relaxed a narrow capture range problem in conventional gradient-based measures. Experimental results showed that the proposed measure performs more robustly than existing measures.
Keyword:
Edginess
generalized gradient vector flow
image registration
similarity measure
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9.6
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1.1W
被引数:
1.7W
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Multi-sensor image registration based on intensity and edge orientation information.png)
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分享收藏Image registration by maximization of combined mutual information and gradient information通过组合互信息和梯度信息的最大化进行图像配准
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