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Image registration based on the projection theorem of energy conservation in graphs

机译:基于图中能量守恒投影定理的图像配准

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This paper proposes a novel image registration method based on the projection theorem of energy conservation, which can improve the performance of image registration. First, we build an inter-graph proximity matrix between nodes of a graph, and then construct intra-graph proximity measures for the individual node sets. The second stage involves the novel use of the projection theorem to project both the reference graph and the sensed graph into a lower dimensional feature space to reduce the dimensionality without losing any information of original data. Finally, we employ an analytical method rather than iterative approach in order to find the correct feature correspondences in the lower dimensional feature space between the graphs. Experiments on synthetic images and real-world images show the proposed method is effective and achieves high accuracy.
机译:提出了一种基于节能投影定理的图像配准方法,可以提高图像配准的性能。首先,我们在图的节点之间建立图间接近度矩阵,然后为各个节点集构造图内接近度度量。第二阶段涉及投影定理的新颖使用,以将参考图和感测到的图投影到较低维的特征空间中,以降低维数而不会丢失原始数据的任何信息。最后,我们采用分析方法而不是迭代方法,以便在图形之间的低维特征空间中找到正确的特征对应关系。在合成图像和真实世界图像上的实验表明,该方法是有效的,并且具有很高的精度。

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