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, BMP image, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image