1) nearest neighbor interpolation
邻近点插值
1.
Application of nearest neighbor interpolation to cancer diagnosis;
邻近点插值方法在癌症诊断中的应用
2) nearest neighbor interpolation
最近邻插值
1.
Typical interpolation algorithms such as nearest neighbor interpolation,Newton interpolation,and sinc interpolation have been proposed for range migration correction.
典型的距离徙动校正插值算法有:最近邻插值、牛顿插值、辛格插值等。
2.
In this paper,three two-dimensional image enlarging methods are studied,including the nearest neighbor interpolation,linearity interpolation and neighbor pixel exchange interpolation.
对最近邻插值法、线性插值法、邻域像素交换法3种二维图像放大方法的熵进行了分析,给出了放大到4倍和9倍时的计算方法,并对误差进行了分析,仿真结果证明了所给方法的有效性,并发现线性插值法要好一些。
3.
For this,the article unifies global threshold iterative algorithm and local threshold segmentation,and proposes the nearest neighbor interpolation threshold.
为此,结合全局阈值中的迭代法和局部阈值法,提出最近邻插值阈值分割算法,并在这种算法的基础上,利用线性插值,提出等间距插值阈值分割的算法,并通过仿真试验说明这两种算法在分割图像时的有效性和可行性。
3) nearest interpolation
最邻近插值
1.
With the nearest interpolation algorithm,the results could be acquired at any location,any time within research areas after eliminating periodic variation and boundary interception error.
该方法在高维空间中使用最邻近插值算法,消除了周期性变化以及边界截断误差的影响,实现了对研究区域任意时间,任意地点的插值,在海洋环境领域有着一定的应用前景。
4) neighbor mean interpolation method
邻近均值插值
1.
The proposed scaling-u Pneighbor mean interpolation method has a low-time complexity and high-calculation speed.
邻近均值插值具有低时间复杂度和高的计算效率。
5) natural neighbour interpolation
自然邻近插值
1.
In meshless natural neighbour Petrov-Galerkin method,the natural neighbour interpolation is used as trial function and a weak form over the local polygonal sub-domains constructed by Delaunay triangulars is used to obtain the discretized system of equilibrium equations.
自然邻近无网格Petrov-Galerkin法采用自然邻近插值构造试函数,并且在由Delaunay三角形构成的多边形局部子域上采用局部Petrov-Galerkin方法建立整体求解的平衡控制方程,是一种真正的无网格法。
2.
The natural neighbour interpolation is used to approximate the trial function and the Shepard function is chosen to be the test function over a circular local sub-domain.
基于局部Petrov-Galerkin离散方案,选用自然邻近插值构造试函数,用Shepard函数作为权函数,提出了一种无网格方法(MNNPG),这种方法充分发挥了局部Petrov-Galerkin法的优势,并且结合了自然邻近插值的特点,方便引入边界条件,由于以Shepard函数的圆形支集作为积分子域,用分片中点插值来完成区域积分,无需额外背景网格,是一种真正的无网格法。
6) Nearest neighbor interpolation model
最近邻插值模型
1.
To avoid the phenomenon of jaggy and blurry edges during reducing an image,after analyzing the nearest neighbor interpolation model and the surface fitting model,an image reduction algorithm is proposed based on the spring model.
为了避免在图像缩小时图像中出现锯齿和模糊边缘的现象,分析了最近邻插值模型和曲面拟合模型,提出一种基于弹性模型的图像缩小算法,给出了插值运算的数学公式,模拟了不同算法作用于图像缩小的输出结果。
补充资料：邻近点
邻近点
proxiinate point
邻近点[洲叻祖加州成;即~cII。二H。二~]，拓扑空间X中集合A的 一点x，其任何邻域均与集合A有非空的交集.集合A的所有邻近点的集合是A的闭包tA}(或记为万)(见集合的闭包(d“uxe of aset)). M.H.B璐扣ex.cK滋撰胡师度白苏华译
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条