RTextureMetrics (version 1.1)

findMaxPropability: findMaxPropability

Description

finds and assings the largest Pij value found in a picture

Usage

findMaxPropability(rawmat)

Arguments

rawmat

assigns the Grey Level Co-occurrence Matrix for Maximum Propability characterization

Value

• returns Maximum Propability value

Details

Maximum Probabilty is a simple statistic which records in the central pixel of a picture or window the largest found Pij value. High values occur if one combination of pixels dominate the pixel pairs.

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.

See Also

The GLCM Tutorial by Mryka Hall-Beyer, http://www.fp.ucalgary.ca/mhallbey/max_propabilty.htm

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)
(findMaxPropability(GLCM))
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (rawmat) 
{
    return(max(rawmat))
  }