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Added a short paragraph + see also section in docstring of
exposure.equalize_adapthist
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@@ -28,7 +28,11 @@ NR_OF_GREY = 2**14 # number of grayscale levels to use in CLAHE algorithm
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@adapt_rgb(hsv_value)
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def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
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nbins=256):
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"""Contrast Limited Adaptive Histogram Equalization.
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"""Contrast Limited Adaptive Histogram Equalization (CLAHE).
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An algorithm for local contrast enhancement, that uses histograms computed
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over different tile regions of the image. Local details can therefore be
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enhanced even in regions that are darker or lighter than most of the image.
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Parameters
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----------
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@@ -49,6 +53,10 @@ def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
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out : ndarray
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Equalized image.
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See Also
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--------
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equalize_hist, rescale_intensity
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Notes
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-----
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* For color images, the following steps are performed:
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