1) grey neighborhood
灰邻域
1.
Therefore,the concept of gery neighborhood and its border are established and the feature of the grey neighborhood border is discussed.
本文在灰距离空间的基础上,把经典微分学中邻域及其边界的概念推广到有理灰数中去,建立了灰邻域及其边界的概念,并研究了灰邻域边界的特殊性。
2) neighborhood gray difference
邻域灰度差
1.
This paper introduces an image segmentation algorithm of weighted with neighborhood gray difference fuzzy C-means clustering.
提出了邻域灰度差加权的模糊C均值聚类算法,实验结果表明,该算法不仅取得了很好的分割效果,而且加快了算法的收敛速度,从而满足了图像分割的有效性、实时性的要求。
3) distribution of gray level in the neighborhood
邻域灰度分布
1.
Thus a method of detecting smallmoving targets based on the distribution of gray level in the neighborhood is described.
图像中邻域内灰度起伏程度越大 ,各点灰度值占邻域内总灰度值的比率的平方和越大 ,由此提出了一种基于邻域灰度分布的弱小目标检测方法。
4) neighbor average grey
邻域平均灰度
1.
Based on global threshold, a new dynamic thresholding approach is proposed which is adjusted with th weighting of the difference between neighbor average grey and global threshold.
以全局阈值为基础,用邻域平均灰度与全局阈值之差的加权值对其进行调整,从而形成一种新的动态阈值分割法。
5) difference of the gray-level
邻域灰度差值
1.
According to the analysis of the threshold method for image segmentation based on the traditional 2D gray-level histogram which partitioned the areas with some wrong pixels and processes slowly,this paper brought forword a new method which built the 2D histogram using the difference of the gray-level in the neighborhood.
针对传统二维灰度直方图的阈值分割方法中区域划分像素易丢失、运算速度慢等不足,通过深入分析图像中邻域灰度偏离的情况,并充分考虑像素的空间灰度信息,提出一种利用像素邻域灰度差值的新方法构建二维直方图;基于二维类间方差法实现了图像二维Otsu分割方法,并给出了相应算法的实现步骤。
6) The square value of neighborhood subtraction
邻域灰度平方差
补充资料：超导电性的局域和非局域理论（localizedandnon-localizedtheoriesofsuperconductivity）
超导电性的局域和非局域理论（localizedandnon-localizedtheoriesofsuperconductivity）
伦敦第二个方程（见“伦敦规范”）表明，在伦敦理论中实际上假定了js(r)是正比于同一位置r的矢势A(r)，而与其他位置的A无牵连；换言之，局域的A(r)可确定该局域的js(r)，反之亦然，即理论具有局域性，所以伦敦理论是一种超导电性的局域理论。若r周围r'位置的A(r')与j(r)有牵连而影响j(r)的改变，则A(r)就为非局域性质的。由于`\nabla\timesbb{A}=\mu_0bb{H}`，所以也可以说磁场强度H是非局域性的。为此，超导电性需由非局域性理论来描绘，称超导电性的非局域理论。皮帕德非局域理论就是典型的超导电性非局域唯象理论。
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