Arithmetic mean filter
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| − | Arithmetic mean filter is commonly used for noise reduction. The filter computes the value of each output pixel by finding the statistical mean of the neighborhood of the corresponding input pixel. | + | Arithmetic mean filter is commonly used for noise reduction. The filter computes the value of each output pixel by finding the statistical mean of the neighborhood of the corresponding input pixel (Fig. A). |
| − | [[File:Artihmetic_mean_filter.png|thumb|left|400px|'''Figure | + | [[File:Artihmetic_mean_filter.png|thumb|left|400px|'''Figure A:''' Principle of arithmetic mean filtering using a rectangular moving window to define a neighborhood ]] |
* In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing(mean)''' under Image Filtering of the Orfeo Toolbox. | * In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing(mean)''' under Image Filtering of the Orfeo Toolbox. | ||
* Under the Parameters tab, select a single band or a multiband file as input layer. | * Under the Parameters tab, select a single band or a multiband file as input layer. | ||
Revision as of 13:16, 20 November 2017
Arithmetic mean filter is commonly used for noise reduction. The filter computes the value of each output pixel by finding the statistical mean of the neighborhood of the corresponding input pixel (Fig. A).
- In the search engine of the Processing Toolbox, type Smoothing and select Smoothing(mean) under Image Filtering of the Orfeo Toolbox.
- Under the Parameters tab, select a single band or a multiband file as input layer.
- Select mean from the drop-down list as Smoothing Type.
- Adjust the Radius of a circular element in pixel size.
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