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Matlab infl()依次使用函数IM=imreconstruct(marker，mask)
有关算法的详细信息，请参见
Soille，P.，《形态图像分析：原理和应用》，Springer Verlag，1999年，第208-209页。第6.3.7节“填充孔”部分import numpy as np
from skimage.morphology import reconstruction
import matplotlib.pyplot as plt
from skimage.io import imread, imsave
# Use the matlab reference Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, 1999, pp. 208-209.
# 6.3.7 Fillhole
# The holes of a binary image correspond to the set of its regional minima which
# are not connected to the image border. This definition holds for grey scale
# images. Hence, filling the holes of a grey scale image comes down to remove
# all minima which are not connected to the image border, or, equivalently,
# impose the set of minima which are connected to the image border. The
# marker image 1m used in the morphological reconstruction by erosion is set
# to the maximum image value except along its border where the values of the
# original image are kept:
img = imread(“tyre.jpg”)
seed = np.ones_like(img)*255
img[ : ,0] = 0
img[ : ,-1] = 0
img[ 0 ,:] = 0
img[ -1 ,:] = 0
seed[ : ,0] = 0
seed[ : ,-1] = 0
seed[ 0 ,:] = 0
seed[ -1 ,:] = 0
fill = reconstruction(seed, img, method=’erosion’)
f, (ax0, ax1) = plt.subplots(1, 2,
subplot_kw={‘xticks’: [], ‘yticks’: []},
figsize=(12, 8))
ax0.imshow(img)
ax1.imshow(fill)
plt.show()
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