Computes the clusters of sulcal pit from the pits density map. These clusters can be used to define a labeling of sulcal pits that is common to the subjects involved in the analysis. For details, see:
Auzias, G, Brun, L, Deruelle, C, Coulon, O, Deep sulcal landmarks: algorithmic and conceptual improvements in the definition and extraction of sulcal pits, NeuroImage, 2015.
template_mesh: Maillage ( entrée )
density_texture: Texture ( entrée )
mask_texture: Cingular pole texture ( optional, entrée )
thresh_dist: Réel ( input )
thresh_area: Réel ( input )
thresh_ridge: Réel ( input )
basins_texture: Texture ( sortie )
Toolbox : Surface corticale
Niveau d'utilisateur : 0
Identifiant :
Group_watershed
Nom de fichier :
brainvisa/toolboxes/cortical_surface/processes/anatomy/group/Group_watershed.py
Supported file formats :
template_mesh :GIFTI file, GIFTI file, Maillage MESH, MNI OBJ mesh, PLY mesh, Maillage TRIdensity_texture :GIFTI file, GIFTI file, Texturemask_texture :GIFTI file, GIFTI file, Texturebasins_texture :GIFTI file, GIFTI file, Texture