计算图像中特定点的GLCM的方法

本文介绍了计算图像中特定点的GLCM的方法的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

众所周知，GLCM（灰度共生矩阵）描述了图像的纹理特征。但通常情况下，在OpenCV中计算GLCM，matlab经常针对图片。但是现在我只想获得图像中每个点的GLCM值，但是如何得到它？

As we know, GLCM (Grey Level Co-occurrence Matrix) describes the texture characteristics of images. But in usual, the calculation of GLCM in OpenCV, matlab often aim on a picture. But now I just want to get GLCM value of every single point inside the image, but how to get it?

推荐答案

如果我正确理解你的问题，然后你可以将你感兴趣的区域之外的像素设置为NaN - 在计算GLCM时，MATLAB会忽略这些像素。

If I understand your problem correctly, then perhaps you can just set the pixels outside your region of interest to NaN - these pixels are ignored by MATLAB when calculating the GLCM.

例如：

>> im = eye(7)
im =
     1     0     0     0     0     0     0
     0     1     0     0     0     0     0
     0     0     1     0     0     0     0
     0     0     0     1     0     0     0
     0     0     0     0     1     0     0
     0     0     0     0     0     1     0
     0     0     0     0     0     0     1
>> graycomatrix(im)
ans =
    30     0     0     0     0     0     0     6
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     6     0     0     0     0     0     0     0
>> im([1:10,13:16,21:24,28:29,34:37,41:49]) = NaN % Remove pixels outside ROI
im =
   NaN   NaN   NaN   NaN   NaN   NaN   NaN
   NaN   NaN   NaN   NaN     0   NaN   NaN
   NaN   NaN     1   NaN     0     0   NaN
   NaN     0     0     1     0     0   NaN
   NaN     0     0     0     1     0   NaN
   NaN   NaN     0     0   NaN   NaN   NaN
   NaN   NaN   NaN   NaN   NaN   NaN   NaN
>> warning('off', 'Images:graycomatrix:scaledImageContainsNan')
>> graycomatrix(im)
ans =
     6     0     0     0     0     0     0     2
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0
     2     0     0     0     0     0     0     0
>> warning('on', 'Images:graycomatrix:scaledImageContainsNan')

这样做你需要的吗？

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