R Language Raster and Image Analysis Calculating GLCM Texture
Example
Gray Level Co-Occurrence Matrix (Haralick et al. 1973) texture is a powerful image feature for image analysis. The glcm package provides a easy-to-use function to calculate such texutral features for RasterLayer objects in R.
library(glcm)
library(raster)
r <- raster("C:/Program Files/R/R-3.2.3/doc/html/logo.jpg")
plot(r)
Calculating GLCM textures in one direction
rglcm <- glcm(r,
window = c(9,9),
shift = c(1,1),
statistics = c("mean", "variance", "homogeneity", "contrast",
"dissimilarity", "entropy", "second_moment")
)
plot(rglcm)
Calculation rotation-invariant texture features
The textural features can also be calculated in all 4 directions (0°, 45°, 90° and 135°) and then combined to one rotation-invariant texture. The key for this is the shift parameter:
rglcm1 <- glcm(r,
window = c(9,9),
shift=list(c(0,1), c(1,1), c(1,0), c(1,-1)),
statistics = c("mean", "variance", "homogeneity", "contrast",
"dissimilarity", "entropy", "second_moment")
)
plot(rglcm1)
