bundles / skimage latest / skimage / filters / rank / bilateral
module
skimage.filters.rank.bilateral
source: /dev/scikit-image/src/skimage/filters/rank/bilateral.py :0
Members
Summary
Approximate bilateral rank filter for local (custom kernel) mean.
Extended Summary
The local histogram is computed using a sliding window similar to the method described in [1].
The pixel neighborhood is defined by:
the given footprint (structuring element)
an interval [g-s0, g+s1] in graylevel around g the processed pixel graylevel
The kernel is flat (i.e. each pixel belonging to the neighborhood contributes equally).
Result image is 8-/16-bit or double with respect to the input image and the rank filter operation.
Additional content
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].
The pixel neighborhood is defined by:
the given footprint (structuring element)
an interval [g-s0, g+s1] in graylevel around g the processed pixel graylevel
The kernel is flat (i.e. each pixel belonging to the neighborhood contributes equally).
Result image is 8-/16-bit or double with respect to the input image and the rank filter operation.
References
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.
Aliases
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skimage.filters.rank.bilateral