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Texture Descriptor : Gray level Co-occurance Matrix (GLCM)

This method [1] encode the grayscale image by scaling the pixel value into graylevels, then according to the direction of GLCM, the summation of the relation gray levels are calculated.

GLCM also has some well known properties in order to represent GLCM value as features vector.

  • Contrast

It returns a measurement of the intensity contrast between a pixel and its neighbour over the whole image.

  • Correlation

It returns a measurement of how correlated a pixel is to its neighbour over the whole image

  • Energy

It returns the summation of squared elements in the GLCM.

  • Homogeneity

It returns a value that measures the closeness of the distribution of elements in the GLCM to the GLCM diagonal.

Definition :

p(i, j)           :        GLCM value on element (i,j)
N                :        Number of gray levels used in quantization process
µ                :        glcm mean
σ2              :        The variance of the intensities of all reference pixels in the relationship that contributed to the GLCM

Figure 1: GLCM process

Bibliography

[1]  R.  M.  Haralick,  K.  Shanmugam,  and  I.  Dinstein.    Textural  features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3(6):610–621, Nov 1973. ISSN 0018-9472. doi: 10.1109/TSMC.1973.4309314.


Published at : Updated
Written By
Hanry Ham, S.Kom.,M.Eng
Subject Content Coordinator – Software Development | School of Computer Science
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