bundles / skimage latest / skimage / morphology / misc / remove_small_holes
function
skimage.morphology.misc:remove_small_holes
source: /dev/scikit-image/src/skimage/morphology/misc.py :154
Signature
def remove_small_holes ( ar , area_threshold = <DEPRECATED> , connectivity = 1 , * , max_size = 63 , out = None ) Summary
Remove contiguous holes smaller than the specified size.
Parameters
ar: ndarray (arbitrary shape, int or bool type)The array containing the connected components of interest.
max_size: int, optionalRemove holes whose contiguous area (or volume, in N-D) contains this number of pixels or fewer.
connectivity: int, {1, 2, ..., ar.ndim}, optional (default: 1)The connectivity defining the neighborhood of a pixel.
out: ndarrayArray of the same shape as
arand bool dtype, into which the output is placed. By default, a new array is created.
Returns
out: ndarray, same shape and type as input `ar`The input array with small holes within connected components removed.
Raises
: TypeErrorIf the input array is of an invalid type, such as float or string.
: ValueErrorIf the input array contains negative values.
Other Parameters
area_threshold: DEPRECATEDDeprecated in favor of
max_size.
Notes
If the array type is int, it is assumed that it contains already-labeled objects. The labels are not kept in the output image (this function always outputs a bool image). It is suggested that labeling is completed after using this function.
Examples
from skimage import morphology a = np.array([[1, 1, 1, 1, 1, 0], [1, 1, 1, 0, 1, 0], [1, 0, 0, 1, 1, 0], [1, 1, 1, 1, 1, 0]], bool) b = morphology.remove_small_holes(a, max_size=1) b c = morphology.remove_small_holes(a, max_size=1, connectivity=2) c d = morphology.remove_small_holes(a, max_size=1, out=a) d is a✓
See also
Aliases
-
skimage.morphology.remove_small_holes