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View Code? Open in Web Editor NEWPython实现提取图像的纹理、颜色特征,包含快速灰度共现矩阵(GLCM)、LBP特征、颜色矩、颜色直方图。
License: Apache License 2.0
Python实现提取图像的纹理、颜色特征,包含快速灰度共现矩阵(GLCM)、LBP特征、颜色矩、颜色直方图。
License: Apache License 2.0
大佬,你好,
首先感谢你的代码,看过你的代码后对我帮助颇大,但是我在你的代码里发现一点小瘕疵,在 纹理特征文件夹下的GLCM下的sample.py代码里,使用plt显示转换后的图片时,并没有显示正确的灰度图片,而是错误的将灰度图片以三通道形式的图片显示。
Hi I have a quick question for you. Since you already worked in GLCM and calculated glcm for 4 directions.
So I am trying to calculate the texture features of my 1 image using GLCM. Now if I use these properties properties = ['contrast', 'energy','ASM', 'homogeneity', 'correlation', 'dissimilarity'] and calculate GLCM in 4 direction angles like [0, np.pi / 4, np.pi / 2, 3 * np.pi / 4] then I get 4 *6=24 feature values. Now my professor is saying 24 features are not enough for the feature selection so calculate GLCM in more directions to get more feature values like previously my directions were [0, 45,90,135] now he is asking me to calculate in [120, 180, 270], etc just to get more features. But everywhere on google, I have seen people are calculating GLCM in the standard four directions that is [0, np.pi / 4, np.pi / 2, 3 * np.pi / 4] so is this correct if I calculate GLCM in the other directions which he mentioned?
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