sklearn.feature_extraction.image.grid_to_graph¶
- sklearn.feature_extraction.image.grid_to_graph(n_x, n_y, n_z=1, mask=None, return_as=<class 'scipy.sparse.coo.coo_matrix'>, dtype=<type 'int'>)¶
Graph of the pixel-to-pixel connections
Edges exist if 2 voxels are connected.
Parameters : n_x: int :
Dimension in x axis
n_y: int :
Dimension in y axis
n_z: int, optional, default 1 :
Dimension in z axis
mask : ndarray of booleans, optional
An optional mask of the image, to consider only part of the pixels.
return_as: np.ndarray or a sparse matrix class, optional :
The class to use to build the returned adjacency matrix.
dtype: dtype, optional, default int :
The data of the returned sparse matrix. By default it is int