bilateralFilter: Edge-Preserving Noise Reduction with a Bilateral Filter
In neuroconductor-releases/Rvision: Basic Computer Vision Library

Description Usage Arguments Value Note Author(s) See Also Examples

bilateralFilter applies the bilateral filter to an image. This filter can reduce unwanted noise very well while keeping edges fairly sharp. However, it is very slow compared to most filters.

1	bilateralFilter(image, d = 5, sigma_color = 25, sigma_space = 25)

`image`	An `Image` object.
`d`	The diameter in pixels of the filter neighborhood (default: 5).
`sigma_color`	The filter standard deviation in the color space (see Note; default: 25).
`sigma_space`	The filter standard deviation in the coordinate space (see Note; default: 25).

image An Image object.

A larger value of sigma_color means that farther colors within the pixel neighborhood will be mixed together, resulting in larger areas of semi-equal color.

A larger value of sigma_space means that farther pixels will influence each other as long as their colors are close enough. When d > 0, it specifies the neighborhood size regardless of sigma_space. Otherwise, d is proportional to sigma_space.

Simon Garnier, garnier@njit.edu

Image, gaussianBlur