Files
scikit-image/skimage/morphology/_clear_border.py
T

37 lines
1000 B
Python

import numpy as np
from skimage.measure import regionprops
from skimage.morphology import label
def clear_border(image, buffer_size=0, bgval=0):
"""Clear objects connected to image border.
The changes will be applied to the input image.
Parameters
----------
image : (N, M) array
binary image
buffer_size : int, optional
define additional buffer around image border
bgval : float or int, optional
value for cleared objects
Returns
-------
image : (N, M) array
cleared binary image
"""
rows, cols = image.shape
for prop in regionprops(label(image), ['BoundingBox', 'Image']):
minr, minc, maxr, maxc = prop['BoundingBox']
if (
minr <= buffer_size
or minc <= buffer_size
or maxr >= rows - buffer_size
or maxc >= cols - buffer_size
):
r, c = np.nonzero(prop['Image'])
image[minr + r, minc + c] = bgval
return image