1) gradient matrix
梯度矩阵
1.
In this paper,the concept of gradient matrix(F(X)) is presented,and an algorithm is constructed to solve the symmetric solution of the minimum Frobenius norm residual problem:min‖(A1XB1,A2XB2)-(C1,C2)‖.
该文提出了梯度矩阵(F(X))的概念,构造了一种迭代法求最小二乘问题min‖(A1XB1,A2XB2)-(C1,C2)‖的对称解。
2) grey scale gradient matrix
灰度梯度矩阵
1.
The 1-D grey scale gradient matrixes of a finite number of pixels distributed symmetrically on both sides of each edge point with each edge point as a spine point are combined into a 2-D grey scale gradient matrix.
以各边缘点为脊点,分别在其两侧对称求取有限数量像素的一维灰度梯度矩阵,并由此构建二维灰度梯度矩阵。
4) 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。
5) gray-grads conjugate matrix
灰度-梯度共轭矩阵
6) gray level-gradient cooccurrent matrix
灰度梯度共生矩阵
补充资料：G(?)teaux梯度
G(?)teaux梯度
Gateaux gradient
‘凌如以梯度【珑加倒优脚曲斌;raTo rp”脱.TI，田-咖李回H的俘甲f夺丁卓x0牛的 H中与f在x。的C自妞.玫导数(G云姗uxderi珊tiVe)f。(x。)相等的向量.换句话说，G舀teaux梯度由公式 f(x。+h)二f(凡)+(无(x。)，h)+。(h)定义，其中。(th)/t~0，当t~0.在”维Eodid空间中C冶姗以梯度f。(x。)为具有坐标 了叮(x。)___盯(凡)、 \口x:”口x，了的向量，并简称为梯度(脚djent).C冶如ux梯度概念可以推广到下列情形:X为侧组日的n流形(有限维)或无穷维Hilbert流形，而f为X上光滑实函数.f在其C冶如以梯度方向上的增长大于过此点任何其他方向的增长. B.M.THxo栩叼Po.撰郑维行译沈永欢、王声望校
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