sqrBoxFilter

Image processingfunctionOpenCV 5.0.0

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

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

Explore visually: Box filtering →

Average a rectangular neighbourhood with equal weight at every position.

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 156 becomes 130.1.

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

Calculates the normalized sum of squares of the pixel values overlapping the filter.

For every pixel (x, y) in the source image, the function calculates the sum of squares of those neighboring pixel values which overlap the filter placed over the pixel (x, y).

The unnormalized square box filter can be useful in computing local image statistics such as the local variance and standard deviation around the neighborhood of a pixel.

See: boxFilter

sqrBoxFilter(src: Mat, dst: Mat, ddepth: number, ksize: Size, anchor: Point, normalize: boolean, borderType: number): void;

4 available overloads

sqrBoxFilter(src: Mat, dst: Mat, ddepth: number, ksize: Size): void;

sqrBoxFilter(src: Mat, dst: Mat, ddepth: number, ksize: Size, anchor: Point): void;

sqrBoxFilter(src: Mat, dst: Mat, ddepth: number, ksize: Size, anchor: Point, normalize: boolean): void;

sqrBoxFilter(src: Mat, dst: Mat, ddepth: number, ksize: Size, anchor: Point, normalize: boolean, borderType: number): void;

src

input image

dst

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

ddepth

the output image depth (-1 to use src.depth())

ksize

kernel size

anchor

kernel anchor point. The default value of Point(-1, -1) denotes that the anchor is at the kernel center.

normalize

flag, specifying whether the kernel is to be normalized by it's area or not.

borderType

border mode used to extrapolate pixels outside of the image, see #BorderTypes. #BORDER_WRAP is not supported.

Upstream declaration ↗

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