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sklearn.feature_extraction.image.grid_to_graph(n_x, n_y, n_z=1, mask=None, return_as=, dtype=)
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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
Notes
For scikit-learn versions 0.14.1 and prior, return_as=np.ndarray was handled by returning a dense np.matrix instance. Going forward, np.ndarray returns an np.ndarray, as expected.
For compatibility, user code relying on this method should wrap its calls in
np.asarray
to avoid type issues.
sklearn.feature_extraction.image.grid_to_graph()
2017-01-15 04:26:04
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