GLCM Function (PV-WAVE Extreme Advantage)

Computes the graylevel co-occurrence probability matrix (GLCM) for a graylevel image.

Usage

result = GLCM(image)

Input Parameters

image—A 2D array containing a graylevel image.

Returned Value

result—A floating-point array of the graylevel co-occurrence probabilities for image.

Keywords

Maxgray—The maximum graylevel in the image to consider. (Default: MAX(image))

Mingray—The minimum graylevel in the image to consider. (Default: MIN(image))

Sums—If set, returns a long array containing the graylevel co-occurrence sums matrix instead of the probabilities.

Xoffset—The pixel position offset in the x-direction. (Default: 1)

 

Either Xoffset or Yoffset must be nonzero.

Yoffset—The pixel position offset in the y-direction. (Default: 1)

Discussion

Each element (a, b) of the graylevel co-occurrence matrix is the joint probability that graylevel b is at a distance specified by Xoffset, and Yoffset from graylevel a. Performing statistics on the graylevel co-occurrence probability matrix (GLCM) provides quantitative information about image texture.

Example

; Read a grayscale image.

image = IMAGE_READ(!IP_Data + 'texture.tif')

; Compute the GLCM.

glcm_array = GLCM(image('pixels'))

; Display the glcm_array.

TVSCL, glcm_array

; Compute the GLCM texture statistics for this image.

glcm_texture = GLCM_STATS(glcm_array)

See Also

GLCM_STATS,  GLRL,  GLRL_STATS,  HIST_STATS, POLAR_FFT