Volume subsampling.
Input_Volume: 3D Volume ( input )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: Directory ( optional, input )
Output_Volume: 3D Volume ( output )Output subsampled volume
- Same type as input
X_Aggregate: Integer ( optional, input )X number of voxels to aggregate [default = 1]
Y_Aggregate: Integer ( optional, input )Y number of voxels to aggregate [default = 1]
Z_Aggregate: Integer ( optional, input )Z number of voxels to aggregate [default = 1]
Mode: Choice ( input )Subsampling type :[default = median]
- median
- mean
- minimum
- maximum
- majority
- difference
- sum
- notnullmean
Debug_Level: Integer ( optional, input )Debug traces to print [default=0]
Verbose: Boolean ( optional, input )
Toolbox : Bioprocessing
User level : 3
Identifier :
BasicSubSamplingFile name :
brainvisa/toolboxes/bioprocessing/processes/research/toolbox/basic/Aims/BasicSubSampling.pySupported file formats :
Input_Volume :gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, 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 imageOutput_Directory :Directory, DirectoryOutput_Volume :gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, 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