wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-07-09 13:25:31 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update docstring

Browse Source
This commit is contained in:
blink1073
2014-02-08 20:15:36 -06:00
parent 61fb831d31
commit 9fa39e564a
1 changed files with 7 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
skimage/exposure/_adapthist.py
+7 -2
View File
@@ -43,7 +43,7 @@ def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
nbins : int, optional
Number of gray bins for histogram ("dynamic range").
mode : string, one of {'unchanged', 'zero', 'trim'}, optional
How to treat any pixels falling outside of the tiles.
How to treat any pixels falling outside of the tiles. See the notes.
Returns
-------
@@ -53,7 +53,12 @@ def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
Notes
-----
* The algorithm relies on an image whose rows and columns are even
multiples of the number of tiles, so the extra rows and columns are to zero, thus preserving the input image shape.
multiples of the number of tiles, so the extra rows and columns are not
affected by the algorithm. The handling of those outlier pixels is
determined by the "mode" paramter. If mode is 'unchanged', the values
the same as the input values. If mode is 'zero', they are set to zero.
If mode is 'trim', only the portion of the image that was equalized will
be returned.
* For color images, the following steps are performed:
- The image is converted to LAB color space
- The CLAHE algorithm is run on the L channel