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===Mean Filter=== | |||
==Mean Filter== | |||
The ''Mean Filter'' tool is used to do a low-pass filter that can emphasize the longer-range variability in an image that essentially smooths the image. It is useful for reducing noise in an image. The algorithm calculates the average value in a moving window centered on each grid cell. The filter size is specified in the x and y dimensions in odd, positive integer values. It works in both greyscale and red-green-blue (RGB) images, however, the RGB images are decomposed into intensity-hue-saturation and the filter applies to the intensity channel. NoData values are ignored. | The ''Mean Filter'' tool is used to do a low-pass filter that can emphasize the longer-range variability in an image that essentially smooths the image. It is useful for reducing noise in an image. The algorithm calculates the average value in a moving window centered on each grid cell. The filter size is specified in the x and y dimensions in odd, positive integer values. It works in both greyscale and red-green-blue (RGB) images, however, the RGB images are decomposed into intensity-hue-saturation and the filter applies to the intensity channel. NoData values are ignored. | ||
===Input Parameters=== | ====Input Parameters==== | ||
*''Input raster file:'' – | *''Input raster file:'' – | ||
*''Size of the filter kernel in the x-direction:'' – Enter the number, an odd, positive integer for the x dimension. Default is 3. | *''Size of the filter kernel in the x-direction:'' – Enter the number, an odd, positive integer for the x dimension. Default is 3. | ||
*''Size of the filter kernel in the y-direction:'' – Enter the number, an odd, positive integer for the y dimension. Default is 3 | *''Size of the filter kernel in the y-direction:'' – Enter the number, an odd, positive integer for the y dimension. Default is 3 | ||
===Output Parameters=== | ====Output Parameters==== | ||
*''Output raster file:'' – Enter the name of the newly created raster file. | *''Output raster file:'' – Enter the name of the newly created raster file. | ||
===Toolbox Location=== | ====Toolbox Location==== | ||
Rasters/Mean Filter | Rasters/Mean Filter | ||
====Related Links==== | ====Related Links==== | ||
*[https://www.whiteboxgeo.com/manual/wbt_book/available_tools/image_processing_tools_filters.html#MeanFilter| Mean Filter] | *[https://www.whiteboxgeo.com/manual/wbt_book/available_tools/image_processing_tools_filters.html#MeanFilter| Mean Filter] Whitebox Documentation |
Latest revision as of 20:54, 31 October 2024
Mean Filter
The Mean Filter tool is used to do a low-pass filter that can emphasize the longer-range variability in an image that essentially smooths the image. It is useful for reducing noise in an image. The algorithm calculates the average value in a moving window centered on each grid cell. The filter size is specified in the x and y dimensions in odd, positive integer values. It works in both greyscale and red-green-blue (RGB) images, however, the RGB images are decomposed into intensity-hue-saturation and the filter applies to the intensity channel. NoData values are ignored.
Input Parameters
- Input raster file: –
- Size of the filter kernel in the x-direction: – Enter the number, an odd, positive integer for the x dimension. Default is 3.
- Size of the filter kernel in the y-direction: – Enter the number, an odd, positive integer for the y dimension. Default is 3
Output Parameters
- Output raster file: – Enter the name of the newly created raster file.
Toolbox Location
Rasters/Mean Filter
Related Links
- Mean Filter Whitebox Documentation