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Docfix for img_as_float; appended myself to CONTRIBUTORS

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img_as_float() had a legacy note stating conversion would force
negative values to the positive domain; this no longer described
its functionality. Note changed to reflect the retention of negative
values when converting from signed datatypes.

When submitting my multichannel improvement to the random walker
segmentation algorithm, I neglected to append my name to the
CONTRIBUTORS file. Now fixed.
This commit is contained in:
JDWarner
2012-09-24 11:30:45 -05:00
parent 0dbb77a359
commit c54d8d31f3
2 changed files with 5 additions and 2 deletions
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CONTRIBUTORS.txt
+3
View File
@@ -110,3 +110,6 @@
- Pavel Campr
Fixes and tests for Histograms of Oriented Gradients.
- Joshua Warner
Multichannel random walker segmentation.
skimage/util/dtype.py
+2 -2
View File
@@ -265,8 +265,8 @@ def img_as_float(image, force_copy=False):
Notes
-----
The range of a floating point image is [0, 1].
Negative input values will be shifted to the positive domain.
The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
converting from unsigned or signed datatypes, respectively.
"""
return convert(image, np.float64, force_copy)