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

机译:基于图表中节能投影定理的图像登记

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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:本文提出了一种基于节能预测定理的新型图像配准法,可以提高图像配准的性能。首先,我们在图形的节点之间构建图形邻近矩阵,然后构建各个节点集的图形接近度测量。第二阶段涉及投影定理的新颖使用将参考图和感测图形投入到较低的尺寸特征空间中,以减小维度而不丢失原始数据的任何信息。最后,我们使用分析方法而不是迭代方法,以便在图之间的较低维度特征空间中找到正确的特征对应关系。合成图像和现实世界形象的实验表明,所提出的方法是有效的,实现高精度。

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