Python：提取GLGCM功能
[英]Python: Extract GLGCM features
问题描述
There is a type of texture features called 
GLGCM (Gray Level Gradient Based Co-occurrence Matrix ) that captures information about how different image gradients co-occur with each other. 有一种称为GLGCM（基于灰度梯度的共现矩阵 ）的纹理特征，可捕获有关不同图像梯度如何共现的信息。
GLGCM is different from normal GLCM. GLGCM与普通GLCM不同。
Can anyone help me find an implementation for GLGCM in Python ? 谁能帮助我在Python中找到GLGCM的实现？
1 个解决方案
解决方案1
1 已采纳 2017-01-13 09:55:47
I don't have access to the paper right now, so I am not sure about how the details are but, what if you use GLCM on gradient image normalized into 0-255 range? 我现在无法访问该论文，所以我不确定细节如何，但是，如果您对归一化为0-255范围的渐变图像使用GLCM，该怎么办？
Python implementation could be found in scikit-image library 可以在scikit-image库中找到Python实现
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