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Application Study of Near-neighbor Algorithm on Three-dimensional Microscope Image Restoration

机译:近邻算法在三维显微图像复原中的应用研究

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The near-neighbor algorithm is one of main methods of three-dimensional (3D) microscope image restoration. The suitable selection of slice number M, parameter c and α in the near-neighbor algorithm can obtain best recovering quality, while not increase the amount of calculation. In this paper, firstly the fundamental of near-neighbor algorithm is introduced. Then the best choice of coefficients c and α in the near-neighbor algorithm under different slice number is obtained by comparing the restoration quality with different choices of the coefficients. And we also obtain the reasonable selection of slice number M. Compared with 3D deconvolution algorithm, the near-neighbor algorithm is simple, easy to program and suitable to observe living specimen.
机译:邻近算法是三维(3D)显微镜图像恢复的主要方法之一。片数M,参数c和α的在近邻居算法的合适选择可以得到最好的恢复质量,而不会增加计算量。本文首先介绍了近邻算法的基本原理。然后,通过将恢复质量与不同系数的选择进行比较,来获得不同切片数下的近邻算法中系数c和α的最佳选择。并且我们还获得了对切片号M的合理选择。与3D反卷积算法相比,近邻算法简单,易于编程并且适合于观察活体标本。

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