Spatial Percentile filter

Spatial Percentile filter.

A Spatial Percentile Filter is an image filtering technique that aims to enhance or suppress certain features in an image based on their intensity values. It is a non-linear filter that replaces the value of a pixel with a specified percentile value of its neighborhood.

Usage:

Start the algorithm from the Processing Toolbox panel.
Select the raster to process and modify the parameterization if necessary, then click run.
Processed image in comparison to the original.

Parameters

Raster layer [raster]

Raster layer to be processed band-wise.

Function [string]

Python code. See percentile_filter for information on different parameters.

Default:

from scipy.ndimage.filters import percentile_filter

function = lambda array: percentile_filter(array, percentile=50, size=3)

Outputs

Output raster layer [rasterDestination]: Raster file destination.

Command-line usage

>qgis_process help enmapbox:SpatialPercentileFilter:

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Arguments
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raster: Raster layer
    Argument type:  raster
    Acceptable values:
            - Path to a raster layer
function: Function
    Default value:  from scipy.ndimage.filters import percentile_filter

function = lambda array: percentile_filter(array, percentile=50, size=3)
    Argument type:  string
    Acceptable values:
            - String value
            - field:FIELD_NAME to use a data defined value taken from the FIELD_NAME field
            - expression:SOME EXPRESSION to use a data defined value calculated using a custom QGIS expression
outputRaster: Output raster layer
    Argument type:  rasterDestination
    Acceptable values:
            - Path for new raster layer

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Outputs
----------------

outputRaster: <outputRaster>
    Output raster layer