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A Novel Approach for Plant Embryonic Cells Serial Section Images Registration

机译:植物胚胎细胞序列切片图像配准的一种新方法

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The three dimensional reconstruction of the serial section images is an effective approach for plant embryo cells quantitative analysis. However, because of the complexity of the section images, the registration problem of the serial section images is difficult to be solved. In this paper, a novel approach based on Radon transform and phase correlation, which is used for the plant embryonic cells serial section images registration, is introduced. After the analysis of these image's features, we use the gravity center of the image to compute the quantity of parallel translation. Compared with the previous image registration algorithm using Radon transform and phase correlation, this approach observably improves both the efficiency and robustness.
机译:连续切片图像的三维重建是一种有效的植物胚细胞定量分析方法。然而,由于截面图像的复杂性,难以解决连续截面图像的配准问题。本文介绍了一种基于Radon变换和相位相关的新方法,该方法用于植物胚胎细胞序列切片图像的配准。在分析了这些图像的特征之后,我们使用图像的重心来计算平行平移的数量。与以前的使用Radon变换和相位相关的图像配准算法相比,该方法明显提高了效率和鲁棒性。

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