medianBlur: Blurs an Image Using a Median Filter

In swarm-lab/Rvision: Computer Vision Library for R

Blurs an Image Using a Median Filter

Description

medianBlur smoothes an image using a median filter, i.e. the value of each pixel is replaced by the median value of all the pixels in its neighborhood.

Usage

medianBlur(image, k_size = 2, target = "new", in_place = NULL)

Arguments

image	If k_size=1 or k_size=3, an 8-bit (8U), 16-bit (16U) or 32-bit (32F) Image object. For any other value of k_size, an 8-bit (8U) Image object.
k_size	The half-size in pixels of the kernel (default: 2).
target	The location where the results should be stored. It can take 3 values: "new": a new Image object is created and the results are stored inside (the default). "self": the results are stored back into image (faster but destructive). An Image object: the results are stored in another existing Image object. This is fast and will not replace the content of image but will replace that of target. Note that if target does not have the same dimensions, number of channels, and bit depth as image, an error may be thrown.
in_place	Deprecated. Use target instead.

Value

If target="new", the function returns an Image object. If target="self", the function returns nothing and modifies image in place. If target is an Image object, the function returns nothing and modifies that Image object in place.

Author(s)

Simon Garnier, [e-mail]

See Also

Image, gaussianBlur

Examples

balloon <- image(system.file("sample_img/balloon1.png", package = "Rvision"))
balloon_blur <- medianBlur(balloon, 11)

swarm-lab/Rvision documentation built on Aug. 4, 2024, 2:29 p.m.