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1)  mean value-gradient co-occurrence matrix
均值–梯度共生矩阵
2)  gray level-gradient co-occurrence matrix
灰度-梯度共生矩阵
1.
According to the characteristics of the timber surface defect,we present an automatic technique for thresholding of timber surface defect images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
根据木材表面缺陷图像的特点,提出了基于灰度-梯度共生矩阵模型和最大熵原理的木材缺陷图像自动阀值化技术。
2.
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
它包括二维匹配滤波预处理以增强血管的灰度,以及用灰度-梯度共生矩阵的最大熵阈值化方法。
3)  gray level-gradient cooccurrent matrix
灰度梯度共生矩阵
4)  gray-gradient co-occurrence matrix
灰度-梯度共生矩阵
1.
The gray-gradient co-occurrence matrix of the text region is calculated,and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.
首先计算文本区域的灰度-梯度共生矩阵,并根据目标函数快速地找到分割的灰度和梯度最佳阈值;然后在此基础上提取特征向量,送入神经网络进行分类;最后根据颜色极性判断的结果,分割出字符。
5)  Vector space gradient co-occurrence matrix
向量空间梯度共生矩阵
6)  ash degree-bad worth symbiosis matrix
灰度插值共生矩阵
补充资料:单值矩阵


单值矩阵
monodromy matrix

单值鹭t黑嘿暮黔黑瀑巍常薇分方程又”A(t)x,t6R,x‘R”在零点处正规化的基本矩阵(和」、da此幻ta]袱亩认)X(亡)当:二。时的值;其中A(0是。周期矩阵,它在R的每一个紧区间上是可和的.刃一B kn“””~柳
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