59 lines
1.4 KiB
Markdown
59 lines
1.4 KiB
Markdown
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# Documentation for `example_code.py`
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## `remove_dirt(image)`
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This function removes small dirt and noise from a binary image by closing small holes and removing small objects.
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Here is an example of how to use the function:
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```
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import skimage.morphology as morphology
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from skimage import data
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# Load a binary image
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image = data.coins() > 100
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# Remove dirt from the image
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cleaned_image = remove_dirt(image)
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```
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## `center_of_mass(X)`
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This function calculates the center of mass of a 2D shape defined by a set of points.
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Here is an example of how to use the function:
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```
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import numpy as np
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# Define a set of points that define a shape
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X = np.array([[0, 0], [0, 1], [1, 1], [1, 0]])
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# Calculate the center of mass of the shape
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center_of_mass = center_of_mass(X)
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# Print the center of mass
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print(center_of_mass)
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```
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The output will be `[0.5, 0.5]`, which is the coordinates of the center of the square defined by the points `X`.
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## `center_of_mass(X)`
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This function calculates the center of mass of a 2D shape defined by a set of points.
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Here is an example of how to use the function:
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```
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import numpy as np
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# Define a set of points that define a shape
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X = np.array([[0, 0], [0, 1], [1, 1], [1, 0]])
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# Calculate the center of mass of the shape
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center_of_mass = center_of_mass(X)
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# Print the center of mass
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print(center_of_mass)
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```
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The output will be `[0.5, 0.5]`, which is the coordinates of the center of the square defined by the points `X`.
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