Color segmentation: model visualization

None

Paramètres

Input_Model: Text file ( entrée )

Display_Model: Booléen ( input )

Display_Mixtures: Booléen ( input )

Display_Clusters: Booléen ( input )

Cluster_Min_Size: Entier ( optional, input )

Input_Image: Volume 3D ( optional, entrée )

Point_Test: Point3D ( optional, input )

Informations techniques

Toolbox : BrainRAT

Niveau d'utilisateur : 1

Identifiant : SegmentationModelVisualization

Nom de fichier : brainvisa/toolboxes/brainrat/processes/agregatesegmentation/SegmentationModelVisualization.py

Supported file formats :

Input_Model :

Text file, Text file

Input_Image :

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