Function opencv::imgproc::bilateral_filter

pub fn bilateral_filter(
    src: &dyn ToInputArray, 
    dst: &mut dyn ToOutputArray, 
    d: i32, 
    sigma_color: f64, 
    sigma_space: f64, 
    border_type: i32
) -> Result<()>

Applies the bilateral filter to an image.

The function applies bilateral filtering to the input image, as described in http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp. However, it is very slow compared to most filters.

Sigma values: For simplicity, you can set the 2 sigma values to be the same. If they are small (< 10), the filter will not have much effect, whereas if they are large (> 150), they will have a very strong effect, making the image look "cartoonish".

Filter size: Large filters (d > 5) are very slow, so it is recommended to use d=5 for real-time applications, and perhaps d=9 for offline applications that need heavy noise filtering.

This filter does not work inplace.

Parameters

• src: Source 8-bit or floating-point, 1-channel or 3-channel image.
• dst: Destination image of the same size and type as src .
• d: Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace.
• sigmaColor: Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace) will be mixed together, resulting in larger areas of semi-equal color.
• sigmaSpace: Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d>0, it specifies the neighborhood size regardless of sigmaSpace. Otherwise, d is proportional to sigmaSpace.
• borderType: border mode used to extrapolate pixels outside of the image, see #BorderTypes

C++ default parameters

• border_type: BORDER_DEFAULT