f.extractor.pluri.LoG.par: Function extractor for multiple filter parameter
In kbolab/moddicom: Package for handling DICOM RT files

It extracts the feature values by applying the filter at multiple LoG sigma.

f.extractor.pluri.LoG.par(path, ROIName, feature.family = c("stat",
  "morph", "glcm", "rlm", "szm"), interpolate = FALSE, px = "",
  py = "", threshold = 0.1, discretize = "", bin.size = 25,
  bin.number = 25, fileName = "tmp.f.extractor.pluri.par.RData",
  forceRecalculus = TRUE, from.sigma = from.sigma,
  to.sigma = to.sigma, def.by = def.by, strategy = "fixed")

`path`	The path to be browsed for folders containing DICOM images and Structure Set of patients
`ROIName`	A `character` object containing the name(s) (as vector) of ROIs to be analyzed. If there is more than one ROI (multiple references) or no ROI is listed the analysis is stopped
`feature.family`	The list of features to be extracted, by default all. The possible families are: statistical, grey level co-occurrence matrix, run-length matrix, size-zone matrix and fractal
`interpolate`	A `logical` value, by default `FALSE`, for interpolating sigma values in filters using sigma for computation as LoG
`px`	The pixel spacing in x direction as string for interpolating sigma, by default empty.
`py`	The pixel spacing in y direction as string for interpolating sigma, by default empty.
`threshold`	A `numeric` value setting the threshold for applying the interpolation, by default .001
`discretize`	ROI discretization for feature extractions, by default `none`. The possible values are `fixed.bin.size` and `fixed.bin.number`.
`bin.size`	Size of bin for ROI discretization for feature extractions, by default 25.
`bin.number`	Number of bin for ROI discretization for feature extractions, by default 25.
`fileName`	The Rdata file name saved locally during the running, by default 'tmp.f.extractor.sing.par.RData'.
`forceRecalculus`	A `logical` value, by defaul `TRUE`, for forcing recalculus by deleting all the local Rdata previously created.
`from.sigma`	The first sigma to be analyzed
`to.sigma`	The last sigma to be analyzed
`def.by`	The sigma step to be analyzed
`strategy`	The strategy to be applied for the radiomics analysis, by default "fixed". For now no other strategy have been implemented.

## Not run: 
f.extractor.pluri.LoG.par(path = './RadiomicsFolder', ROIName = 'GTV', feature.family = c('stat', 'glcm'), forceRecalculus = T, from.sigma = 0.3, to.sigma = 2, def.by = 0.1)

## End(Not run)