sklearn.feature_extraction.image
.img_to_graph¶
-
sklearn.feature_extraction.image.
img_to_graph
(img, mask=None, return_as=<class 'scipy.sparse.coo.coo_matrix'>, dtype=None)[source]¶ Graph of the pixel-to-pixel gradient connections
Edges are weighted with the gradient values.
Read more in the User Guide.
Parameters: img : ndarray, 2D or 3D
2D or 3D image
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 : None or dtype, optional
The data of the returned sparse matrix. By default it is the dtype of img
Notes
For sklearn 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.