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  2. Artificial Intelligence
  3. Digital Image Analysis
  4. Morphological Operations: Erosion with a Structuring Element
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Morphological Operations: Erosion with a Structuring Element

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8 Discussions

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  • singhjaitawat824
     + 0 comments

    import numpy as np

    image = np.array([

    [0, 0, 1, 1, 0],

    [0, 0, 1, 1, 0],

    [0, 0, 1, 1, 0],

    [1, 1, 1, 1, 1]

    ])

    row = image.shape[0]

    column = image.shape[1]

    arr = np.copy(image)

    for i in range(row):

    for j in range(column):

    if i in [1,2]:

    # Check up and down

    if image[i-1,j] == 0 or image[i+1, j] == 0:

    arr[i,j] = 0

    else:

    arr[i,j] = 0

    for i in range(arr.shape[0]):

    line = ''

    for j in range(arr.shape[1]):

    line += str(arr[i][j])

    print(line)

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     + 0 comments

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  • rahulkumeriya
     + 1 comment
    import numpy as np
import matplotlib.pyplot as plt
from skimage.io import imread, imshow
from skimage.draw import disk
from skimage.morphology import (erosion, dilation, closing, opening,
                                area_closing, area_opening)
from skimage.color import rgb2gray

a = np.array([
    [0,0,1,1,0],
    [0,0,1,1,0],
    [0,0,1,1,0],
    [1,1,1,1,1]
])

s = np.array([
        [1],
        [1],
        [1]])

image = np.array(erosion(a,s))
print(image)