.. _LocalStatisticExtraction: 

LocalStatisticExtraction
========================





Computes local statistical moments on every pixel in the selected channel of the input image

Description
-----------

This application computes the 4 local statistical moments on every pixel in the selected channel of the input image, over a specified neighborhood. The output image is multi band with one statistical moment (feature) per band. Thus, the 4 output features are the Mean, the Variance, the Skewness and the Kurtosis. They are provided in this exact order in the output image.



Parameters
----------

.. contents:: :local:

.. |br| raw:: html

   <br />

.. |em| raw:: html

   &emsp;

**Input Image** :code:`-in image` *Mandatory* |br|
The input image to compute the features on.

**Feature Output Image** :code:`-out image [dtype]` *Mandatory* |br|
Output image containing the local statistical moments.

**Selected Channel** :code:`-channel int` *Default value: 1* |br|
The selected channel index (1 based)

**Neighborhood radius** :code:`-radius int` *Default value: 3* |br|
The computational window radius.

**Available RAM (MB)** :code:`-ram int` *Default value: 256* |br|
Available memory for processing (in MB).



Examples
--------

From the command-line:

.. code-block:: bash

    otbcli_LocalStatisticExtraction -in qb_RoadExtract.tif -channel 1 -radius 3 -out Statistics.tif


From Python:

.. code-block:: python

	import otbApplication

	app = otbApplication.Registry.CreateApplication("LocalStatisticExtraction")

	app.SetParameterString("in", "qb_RoadExtract.tif")
	app.SetParameterInt("channel", 1)
	app.SetParameterInt("radius", 3)
	app.SetParameterString("out", "Statistics.tif")

	app.ExecuteAndWriteOutput()





See also
--------

| otbRadiometricMomentsImageFunction class