skimage 0.17.2

The local histogram is computed using a sliding window similar to the method described in .

Input image can be 8-bit or 16-bit, for 16-bit input images, the number of histogram bins is determined from the maximum value present in the image.

Result image is 8-/16-bit or double with respect to the input image and the rank filter operation.

Inferior and superior ranks, provided by the user, are passed to the kernel function to provide a softer version of the rank filters. E.g. autolevel_percentile will stretch image levels between percentile [p0, p1] instead of using [min, max]. It means that isolated bright or dark pixels will not produce halos.

Inferior and superior ranks, provided by the user, are passed to the kernel function to provide a softer version of the rank filters. E.g. autolevel_percentile will stretch image levels between percentile [p0, p1] 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 .

Input image can be 8-bit or 16-bit, for 16-bit input images, the number of histogram bins is determined from the maximum value present in the image.

Result image is 8-/16-bit or double with respect to the input image and the rank filter operation.

References

            <Unimplemented 'footnote' '.. [1] Huang, T. ,Yang, G. ;  Tang, G.. "A fast two-dimensional\n       median filtering algorithm", IEEE Transactions on Acoustics, Speech and\n       Signal Processing, Feb 1979. Volume: 27 , Issue: 1, Page(s): 13 - 18.'>
           

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /skimage/filters/rank/_percentile.py#0
type: <class 'module'>
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