This tool performs a median filter on a raster image. Median filters, a type of low-pass filter, can be used to emphasize the longer-range variability in an image, effectively acting to smooth the image. This can be useful for reducing the noise in an image.
Arguments
- x
Raster object of class WhiteboxRaster. See
wbw_read_raster()
for more details.- filter_size_x
integer
, X dimension of the neighbourhood size- filter_size_y
integer
, Y dimension of the neighbourhood size- sig_digits
integer
, default 2. Required for rounding of floating points inputs.
Value
WhiteboxRaster object containing filtered values
Details
The algorithm operates by calculating the median value (middle value in a sorted list) in a moving window centred on each grid cell. Specifically, this tool uses the efficient running-median filtering algorithm of Huang et al. (1979). The median value is not influenced by anomolously high or low values in the distribution to the extent that the average is. As such, the median filter is far less sensitive to shot noise in an image than the mean filter.
Neighbourhood size, or filter size, is specified in the x and y dimensions
using filter_size_x
and filter_size_y
These dimensions should
be odd, positive integer values (e.g. 3L, 5L, 7L, 9L, etc.).
References
Huang, T., Yang, G.J.T.G.Y. and Tang, G., 1979. A fast two-dimensional median filtering algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing, 27(1), pp.13-18.
For more information, see https://www.whiteboxgeo.com/manual/wbw-user-manual/book/tool_help.html#median_filter
Examples
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
wbw_median_filter(filter_size_x = 3L, filter_size_y = 3L)
#> +-----------------------------------------------+
#> | WhiteboxRaster |
#> | dem.tif |
#> |...............................................|
#> | bands : 1 |
#> | dimensions : 726, 800 (nrow, ncol) |
#> | resolution : 5.002392, 5.000243 (x, y) |
#> | EPSG : 2193 (Linear_Meter) |
#> | extent : 1925449 1929446 5582091 5585717 |
#> | min value : 63.869999 |
#> | max value : 360.119995 |
#> +-----------------------------------------------+