skimage 0.17.2

ParametersReturns
autolevel_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=0, p1=1)

This filter locally stretches the histogram of greyvalues to cover the entire range of values from "white" to "black".

Only greyvalues between percentiles [p0, p1] are considered in the filter.

Parameters

image : 2-D array (uint8, uint16)

Input image.

selem : 2-D array

The neighborhood expressed as a 2-D array of 1's and 0's.

out : 2-D array (same dtype as input)

If None, a new array is allocated.

mask : ndarray

Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).

shift_x, shift_y : int

Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).

p0, p1 : float in [0, ..., 1]

Define the [p0, p1] percentile interval to be considered for computing the value.

Returns

out : 2-D array (same dtype as input image)

Output image.

Return greyscale local autolevel of an image.

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#48
type: <class 'function'>
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