calc_features: Calculate texture and first order statistics.

In radiomics: 'Radiomic' Image Processing Toolbox

Description

calc_features Calculates features of given texture matrix. If a simple matrix is given, will calculate first order features. If desired, user may input the features they wish to calculate for a given matrix type by passing them as a vector of strings to the features argument.

Usage

calc_features(object, features = c())

## S4 method for signature 'matrix'
calc_features(object, features = c())

## S4 method for signature 'glcm'
calc_features(object, features = c())

## S4 method for signature 'glrlm'
calc_features(object, features = c())

## S4 method for signature 'glszm'
calc_features(object, features = c())

## S4 method for signature 'mglszm'
calc_features(object, features = c())

Arguments

object	An object of class "matrix", "glcm", "glrlm", "glszm", or "mglszm"
features	A vector containing the features the user wishes to calculate for a given matrix type.

Details

Lists of features available for each matrix type can be accessed through ?first_order_features ?glcm_features, ?glrlm_features, ?glszm_features.

Matrices of class mglszm accept features belonging to the glszm.

Value

A data frame with a single observation. The columns of the dataframe correspond to the calculated features.

Methods (by class)

• matrix: Calculate first order features of a numeric matrix

• glcm: Calculate texture features of a glcm matrix

• glrlm: Calculate texture features of a glrlm matrix

• glszm: Calculate texture features of a glszm matrix

• mglszm: Calculate texture features of an mglszm matrix

References

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107

See Also

glcm glrlm glszm mglszm

Examples

## Not run: 
calc_features(glcm(hallbey))
calc_features(glrlm(psf, n_grey=10))
calc_features(glcm(hallbey), features=c("glcm_mean", "glcm_variance", "pickles"))

## End(Not run)

radiomics documentation built on May 2, 2019, 3:36 p.m.