1) 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。
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) The square value of neighborhood subtraction
邻域灰度平方差
4) pixel-value difference
灰度差值
1.
The Side Match(SM) inevitably causes abnormality in the pixel-value difference histogram,so there are unusual steps in the histogram of pixel-value differences.
边缘匹配(SM)密写法会引起像素灰度差值直方图统计特性的异常,使灰度差值直方图中出现阶梯,分析者据此可以察觉秘密信息的存在。
2.
It is shown in this paper that SM, which inserts secret data in neighboring pixel-value differences, inevitably causes abnormality in the pixel-value difference histogram.
本文指出SM密写会引起像素灰度差值直方图统计特性的异常,这一性质提供了检测秘密信息存在性和估计嵌入信息量的线索,由此提出一种有效的SM密写分析法。
5) 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。
6) 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。
补充资料：邻域
邻域
neighbourhood
邻域【.吨仙仪们.闭;0冲ec，Oc、}，拓扑空间中点x(集合A)的 该空间中含有点x(集合A)的任何开集.有时，该拓扑空间中任何集合，如果其内部含有点x(集合A)，也称为点x(集合A)的邻域(亦见集合的内部(interiorofaset)). B.A.nacHHK.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