1) The square value of neighborhood subtraction
邻域灰度平方差
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) 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。
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) variance of area gray-scale
区域灰度方差
6) neighboring region variance
邻域方差
1.
The base frequency coefficient is based on the neighboring region variance,and the high frequency coefficient is based on th.
提出一种基于小波变换的像素级CT,MR医学图像融合方法,利用离散小波变换分别将两幅源图像进行多尺度分解,再用不同的小波系数邻域特征指导高频分量和低频分量的小波系数的融合,低频分量采用邻域方差指导,高频分量采用邻域能量指导,最后根据融合图像的各小波系数重构融合图像。
2.
The approximate coefficient is based on simple plus mean method, and the particular coefficient is based on the neighboring region variance.
提出了一种基于邻域方差加权平均的小波图像融合方法。
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