medianBlur

Image processingfunctionOpenCV 5.0.0

import { medianBlur } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: Median filtering →

Choose the middle value of a pixel neighbourhood instead of averaging its intensities.

VISUAL WALKTHROUGHFiltering

REFERENCE INPUTNoisy or uneven image

The same scene stays here while the working view changes.

→

RESULTApply the rule at every pixel

The whole image has now been processed. The highlighted input value 174 becomes 172.0.

Computed teaching example on a 24 × 16 image. Small kernels and simplified settings keep each change visible; use the image laboratory for native OpenCV.

example: samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp Sample code for simple filters Check tutorial_gausian_median_blur_bilateral_filter "the corresponding tutorial" for more details Blurs an image using the median filter.

The function smoothes an image using the median filter with the \texttt{ksize} \times \texttt{ksize} aperture. Each channel of a multi-channel image is processed independently. In-place operation is supported.

Note: The median filter uses #BORDER_REPLICATE internally to cope with border pixels, see #BorderTypes

See: bilateralFilter, blur, boxFilter, GaussianBlur

medianBlur(src: Mat, dst: Mat, ksize: number): void;

src

input 1-, 3-, or 4-channel image; when ksize is 3 or 5, the image depth should be CV_8U, CV_16U, or CV_32F, for larger aperture sizes, it can only be CV_8U.

dst

Output destination, filled by the native operation. destination array of the same size and type as src.

ksize

aperture linear size; it must be odd and greater than 1, for example: 3, 5, 7 ...

Upstream declaration ↗

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