[Volume] SubSampling

Volume subsampling.

Paramètres

Input_Volume: Volume 3D ( entrée )
Source volume

Volume of U8

Volume of U16

Volume of U32

Volume of S8

Volume of S16

Volume of S32

Volume of FLOAT

Volume of DOUBLE

Volume of RGB

Volume of RGBA

Output_Directory: Répertoire ( optional, entrée )

Output_Volume: Volume 3D ( sortie )
Output subsampled volume

Same type as input

X_Aggregate: Entier ( optional, input )
X number of voxels to aggregate [default = 1]

Y_Aggregate: Entier ( optional, input )
Y number of voxels to aggregate [default = 1]

Z_Aggregate: Entier ( optional, input )
Z number of voxels to aggregate [default = 1]

Mode: Choice ( input )
Subsampling type :

median

mean

minimum

maximum

majority

difference

sum

notnullmean

[default = median]

Debug_Level: Entier ( optional, input )
Debug traces to print [default=0]

Verbose: Booléen ( optional, input )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : BasicSubSampling

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/basic/Aims/BasicSubSampling.py

Supported file formats :
Input_Volume :
gz compressed NIFTI-1 image, Aperio svs, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image
Output_Directory :
Répertoire, Répertoire
Output_Volume :
gz compressed NIFTI-1 image, Aperio svs, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image