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Apply numpy reference style to rank filter descriptions

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Johannes Schönberger
2012-11-14 08:33:27 +01:00
parent 2403bee27c
commit 80a9a5aba5
3 changed files with 24 additions and 18 deletions
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skimage/filter/rank/bilateral_rank.pyx
+8 -5
View File
@@ -1,11 +1,7 @@
"""Approximate bilateral rank filter for local (custom kernel) mean.
The local histogram is computed using a sliding window similar to the method
described in:
.. [1] Reference: Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
described in [1]_.
Input image can be 8-bit or 16-bit with a value < 4096 (i.e. 12 bit), 8-bit
images are casted in 16-bit the number of histogram bins is determined from the
@@ -21,6 +17,13 @@ equally).
Result image is 16-bit with respect to the input image.
References
----------
.. [1] Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
"""
import numpy as np
skimage/filter/rank/percentile_rank.pyx
+8 -8
View File
@@ -5,14 +5,7 @@ instead of using [min, max]. It means that isolated bright or dark pixels will
not produce halos.
The local histogram is computed using a sliding window similar to the method
described in [1].
References
==========
.. [1] Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
described in [1]_.
Input image can be 8-bit or 16-bit with a value < 4096 (i.e. 12 bit), for 16-bit
input images, the number of histogram bins is determined from the maximum value
@@ -20,6 +13,13 @@ present in the image.
Result image is 8 or 16-bit with respect to the input image.
References
----------
.. [1] Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
"""
import numpy as np
skimage/filter/rank/rank.pyx
+8 -5
View File
@@ -1,9 +1,5 @@
"""The local histogram is computed using a sliding window similar to the method
described in:
.. [1] Reference: Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
described in [1]_.
Input image can be 8-bit or 16-bit with a value < 4096 (i.e. 12 bit), for 16-bit
input images, the number of histogram bins is determined from the maximum value
@@ -11,6 +7,13 @@ present in the image.
Result image is 8 or 16-bit with respect to the input image.
References
----------
.. [1] Huang, T. ,Yang, G. ; Tang, G.. "A fast two-dimensional
median filtering algorithm", IEEE Transactions on Acoustics, Speech and
Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.
"""
import numpy as np