def __init__(self, image=[[0.0]], min_size=64, **options):
from skimage import morphology
import numpy as np
self.a = np.array(image, dtype=bool)
for sl1 in range(self.a.shape[2]):
self.a[:, :, sl1] = morphology.remove_small_objects(
self.a[:, :, sl1], min_size, **options)
def __init__(self, image=[[0.0]], area_threshold=64, **options):
from skimage import morphology
import numpy as np
self.a = np.array(image, dtype=bool)
for sl1 in range(self.a.shape[2]):
self.a[:, :, sl1] = morphology.remove_small_holes(
self.a[:, :, sl1],
area_threshold,
connectivity=connectivity,
in_place=in_place)
def __init__(self, image=[[0.0]], **options):
from skimage.morphology import black_tophat
import numpy as np
self.bt = black_tophat(np.array(image), **options)
def __init__(self, image=[[0.0]], **options):
from skimage.morphology import dilation
import numpy as np
self.dilated = dilation(np.array(image), **options)
def __init__(self, image=[[0.0]], **options):
from skimage.morphology import erosion
import numpy as np
self.eroded = erosion(np.array(image), **options)
def image_cln(self: 'array_float'):
return np.array(self.a, dtype=float)
def __init__(self, image=[[0.0]], **options):
from skimage.morphology import closing
import numpy as np
self.cl = closing(np.array(image), **options)