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Nearest neighbor interpolation
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空间插值方法汇总Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法）Minimum Curvature（最小曲率）Modified Shepardd s Method（改进谢别德法）Natural Neighbor（自然邻点插值法）Nearest Neighbor（最近邻点插值法）Polynomial Regression（多元回归法）Radia
-Spatial interpolation method summary Inverse
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文档包括双线性插值算法和最近邻域算法的详细介绍，以及算法的相关计算。-Documentation includes bilinear interpolation algorithm and the nearest neighbor algorithm which is described in detail, as well as algorithms related calculations.
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此代码主要是利用最邻近差值法，双线性插值法，高阶插值法实现图像的旋转以及缩放-This code is the difference between the use of the nearest neighbor method to achieve image rotation bilinear interpolation, higher-order interpolation and scaling
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图像处理，对源图像进行扭曲，采用最近邻、二维插值和三次样条插值。-Image processing, image distortion source, using the nearest neighbor, the two-dimensional interpolation and cubic spline interpolation.
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克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。-This function completes what I have started with the functions
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包括最近邻插值，双线性插值，双三次插值的图像缩放、旋转及其误差分析。-Including the nearest neighbor interpolation, bilinear interpolation, bicubic interpolation image scaling, rotation and error analysis.
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本算法采用C#进行界面编程，实现图像的放大缩小和旋转，可自选放大缩小倍数和旋转角度，也可以自行选择插值方式：最近邻插值、双线性插值和双三次插值-The algorithm uses C# for interface programming, image zooming and rotation can be optional zoom factor and the rotation angle can also choose their own interpolation method: nea
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最近邻插值法nearest_neighbor是最简单的灰度值插值。也称作零阶插值，就是令变换后像素的灰度值等于距它最近的输入像素的灰度值。(Nearest neighbor interpolation method, nearest_neighbor is the simplest gray value interpolation. Also called zero order interpolation, that is, the gray value of the transformed p
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matlab处理图像，随机扔掉图像的像素点，并进行双线性最邻近插值(Randomly discard pixels of an image. Bilinear interpolation and nearest neighbor interpolation are also performed)
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nearest neighbor interpolation for working
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