_fast_pad(image, value, *, order='C')
The output of this function is equivalent to:
np.pad(image, 1, mode="constant", constant_values=value)
Up to versions < 1.17 numpy.pad
uses concatenation to create padded arrays while this method needs to only allocate and copy once. This can result in significant speed gains if :None:None:`image` has a large number of dimensions. Thus this function may be safely removed once that version is the minimum required by scikit-image.
Image to pad.
The value to use. Should be compatible with :None:None:`image`'s dtype.
Specify the memory layout of the padded image (C or Fortran style).
The new image.
Pad an array on all axes by one with a value.
>>> _fast_pad(np.zeros((2, 3), dtype=int), 4) array([[4, 4, 4, 4, 4], [4, 0, 0, 0, 4], [4, 0, 0, 0, 4], [4, 4, 4, 4, 4]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.morphology._util._fast_pad
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