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synced 2026-07-15 11:25:53 +08:00
Improve docstrings in grey morphology module
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@@ -10,10 +10,11 @@ import numpy as np
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eps = np.finfo(float).eps
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def greyscale_erode(image, selem, out=None, shift_x=False, shift_y=False):
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"""
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Performs a greyscale morphological erosion on an image given a flat
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structuring element. The eroded pixel at (i,j) is the minimum over all
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pixels in the neighborhood centered at (i,j).
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"""Return greyscale morphological erosion of an image.
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Morphological erosion sets a pixel at (i,j) to the minimum over all pixels
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in the neighborhood centered at (i,j). Erosion shrinks bright regions and
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enlarges dark regions.
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Parameters
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----------
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@@ -47,10 +48,11 @@ def greyscale_erode(image, selem, out=None, shift_x=False, shift_y=False):
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raise ImportError("cmorph extension not available.")
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def greyscale_dilate(image, selem, out=None, shift_x=False, shift_y=False):
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"""
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Performs a greyscale morphological dilation on an image given a flat
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structuring element. The dilated pixel at (i,j) is the maximum over all
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pixels in the neighborhood centered at (i,j).
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"""Return greyscale morphological dilation of an image.
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Morphological dilation sets a pixel at (i,j) to the maximum over all pixels
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in the neighborhood centered at (i,j). Dilation enlarges bright regions
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and shrinks dark regions.
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Parameters
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----------
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@@ -85,10 +87,12 @@ def greyscale_dilate(image, selem, out=None, shift_x=False, shift_y=False):
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raise ImportError("cmorph extension not available.")
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def greyscale_open(image, selem, out=None):
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"""
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Performs a greyscale morphological opening on an image given a flat
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structuring element defined as a erosion followed by a dilation.
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"""Return greyscale morphological opening of an image.
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The morphological opening on an image is defined as an erosion followed by
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a dilation. Opening can remove small bright spots (i.e. "salt") and connect
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small dark cracks. This tends to "open" up (dark) gaps between (bright)
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features.
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Parameters
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----------
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@@ -117,9 +121,12 @@ def greyscale_open(image, selem, out=None):
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return out
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def greyscale_close(image, selem, out=None):
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"""
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Performs a greyscale morphological closing on an image given a flat
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structuring element defined as a dilation followed by an erosion.
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"""Return greyscale morphological closing of an image.
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The morphological closing on an image is defined as a dilation followed by
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an erosion. Closing can remove small dark spots (i.e. "pepper") and connect
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small bright cracks. This tends to "close" up (dark) gaps between (bright)
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features.
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Parameters
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----------
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@@ -148,8 +155,11 @@ def greyscale_close(image, selem, out=None):
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return out
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def greyscale_white_top_hat(image, selem, out=None):
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"""
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Applies a white top hat on an image given a flat structuring element.
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"""Return white top hat of an image.
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The white top hat of an image is defined as the image minus its
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morphological opening. This operation returns the bright spots of the image
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that are smaller than the structuring element.
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Parameters
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----------
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@@ -176,8 +186,12 @@ def greyscale_white_top_hat(image, selem, out=None):
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return out
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def greyscale_black_top_hat(image, selem, out=None):
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"""
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Applies a black top hat on an image given a flat structuring element.
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"""Return black top hat of an image.
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The black top hat of an image is defined as its morphological closing minus
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the original image. This operation returns the dark spots of the image that
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are smaller than the structuring element. Note that dark spots in the
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original image are bright spots after the black top hat.
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Parameters
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----------
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