RTextureMetrics (version 1.1)

RTextureMetrics-package: Calculation of texture metrics for Grey Level Co-occurrence matrices

Description

This package contains several functions for calculation of important texture metrics for Grey Level Co-occurrence matrices

Details

Package:

RTextureMetrics

Type:

Package

Version:

1.1

Date:

2013-04-18

License:

GPL (>=2)

LazyLoad:

yes

Read in Image (e.g. using readJPEG in biOps-package or readJPEG in rimage-package) and transform Image to a Grey-Image (e.g. using rgb2Grey-function of biOps or RGB2GREY in rimage). Use afterwards genGLCM of this package to generate a GLC-Matrix and calculate afterwards (more than) one of the measures.

References

Toennies, D., 2005: Grundlagen der Bildverarbeitung, 341 S., Pearson Studium Harralick, R.M., Shanmugam, K., Dinstein, I., 1973: Textural Features for image classification. IEEE Transactions on Systems, Man and Cybernetics, SMC vol. 3 no. 6, pp. 610-620.

Examples

data<-c(0,0,1,1,0,0,1,1,0,2,2,2,2,2,3,3)
mat<-matrix(data, nrow=4, byrow=TRUE)
(mat)
GLCM<-genGLCM(2,1,mat)
(GLCM)
calcCON(GLCM)
calcHOM(GLCM)
calcDIS(GLCM)
calcASM(GLCM)
calcENT(GLCM)
findMaxPropability(GLCM)
plotGLCM(GLCM)