- How to extract GLCM features in Python?
- What features are extracted by GLCM?
- What are GLCM texture features?
- How are GLCM features calculated?
How to extract GLCM features in Python?
feature import greycomatrix, greycoprops from skimage import data from skimage import util, exposure, data import pywt from skimage import io from skimage. color import rgb2gray lenx = x_train. shape[0] # Your image array!
What features are extracted by GLCM?
The GLCM functions characterize the texture of an image by calculating how often pairs of pixel with specific values and in a specified spatial relationship occur in an image, creating a GLCM, and then extracting statistical measures from this matrix.
What are GLCM texture features?
The multiple texture features are extracted including contrast, homogeneity, dimensionality, angular second moment, energy, and correlation.
How are GLCM features calculated?
Each element (i,j) in the resultant glcm is simply the sum of the number of times that the pixel with value i occurred in the specified spatial relationship to a pixel with value j in the input image. The number of gray levels in the image determines the size of the GLCM.