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1)  variance of area gray-scale
区域灰度方差
2)  The square value of neighborhood subtraction
邻域灰度平方差
3)  gray variance
灰度方差
1.
The segmentation method of fingerprint image based on gray variance runs quickly and can be programmed easily.
灰度方差法是一种简单快速的指纹图像分割算法,本文给出一种自适应阈值的灰度方差分割法。
2.
On the basis of the fingerprint image segmentation algorithm based on the gray variance,this paper pre-sents an improved segmentation algorithm for the low quality fingerprint images which has much low gray degrees pix-els.
在基于灰度方差的指纹分割算法的基础上,本文针对低灰度等级占多数的低质量指纹图像,提出了一种改进的指纹图像分割算法。
4)  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。
5)  region covariance
区域协方差
1.
Aiming for the image tracking feature of precise guidance systems,a new object tracking algorithm based on region covariance matrix,which is the latest product in the computer vision,is proposed.
针对精确制导系统图像跟踪的特点,在计算机视觉研究领域最新成果区域协方差矩阵的基础上提出了一种目标跟踪的新方法。
6)  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。
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
  
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