`scipy.ndimage._morphology:binary_fill_holes`

source: /scipy/ndimage/_morphology.py :1083

Signature

   def     binary_fill_holes (    input    ,    structure    =  None   ,    output    =  None   ,    origin    =  0   ,  * ,     axes    =  None     )

Summary

Fill the holes in binary objects.

Parameters

input : array_like: N-D binary array with holes to be filled
structure : array_like, optional: Structuring element used in the computation; large-size elements make computations faster but may miss holes separated from the background by thin regions. The default element (with a square connectivity equal to one) yields the intuitive result where all holes in the input have been filled.
output : ndarray, optional: Array of the same shape as input, into which the output is placed. By default, a new array is created.
origin : int, tuple of ints, optional: Position of the structuring element.
axes : tuple of int or None: The axes over which to apply the filter. If None, input is filtered along all axes. If an origin tuple is provided, its length must match the number of axes.

Returns

out : ndarray: Transformation of the initial image input where holes have been filled.

Notes

The algorithm used in this function consists in invading the complementary of the shapes in input from the outer boundary of the image, using binary dilations. Holes are not connected to the boundary and are therefore not invaded. The result is the complementary subset of the invaded region.

Array API Standard Support

binary_fill_holes has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ✅                   
PyTorch               ✅                     ⛔                   
JAX                   ⚠️ no JIT             ⛔                   
Dask                  ⚠️ computes graph     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Examples

from scipy import ndimage
import numpy as np
a = np.zeros((5, 5), dtype=int)
a[1:4, 1:4] = 1
a[2,2] = 0
a
ndimage.binary_fill_holes(a).astype(int)
ndimage.binary_fill_holes(a, structure=np.ones((5,5))).astype(int)

✓

Aliases

scipy.ndimage.binary_fill_holes

Referenced by

Other packages

skimage user_guide:tutorial_segmentation