Gaussian filter
From AWF-Wiki
(Difference between revisions)
| Line 1: | Line 1: | ||
The Gaussian smoothing filter is used for noise reduction and removing details. The filter is similar to the arithmetic mean filter but it uses a different kernel that represents the shape of a 2 dimensional Gaussian distribution. | The Gaussian smoothing filter is used for noise reduction and removing details. The filter is similar to the arithmetic mean filter but it uses a different kernel that represents the shape of a 2 dimensional Gaussian distribution. | ||
| + | $G_{2D}(x,y,\sigma)=$ | ||
* In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing (gaussian)''' under Image Filtering of the Orfeo Toolbox. | * In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing (gaussian)''' 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 15:19, 20 November 2017
The Gaussian smoothing filter is used for noise reduction and removing details. The filter is similar to the arithmetic mean filter but it uses a different kernel that represents the shape of a 2 dimensional Gaussian distribution. $G_{2D}(x,y,\sigma)=$
- In the search engine of the Processing Toolbox, type Smoothing and select Smoothing (gaussian) under Image Filtering of the Orfeo Toolbox.
- Under the Parameters tab, select a single band or a multiband file as input layer.
- Select gaussian from the drop-down list as Smoothing Type.
- Adjust the Radius of a circular element in pixel size.
 |
 |
