createHanningWindow

Image processingfunctionOpenCV 5.0.0

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

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

Explore visually: Phase correlation →

Estimate translation from the phase relationship between two images in the frequency domain.

VISUAL WALKTHROUGHMatching

REFERENCE INPUTTwo shifted signals

Orange is shifted seven samples relative to violet.

→

RESULTLocate the correlation peak

The ideal inverse transform concentrates the response at the displacement. Real images produce a broader, noisy peak.

Illustrative example. The stages explain the method; they are not a live OpenCV execution.

This function computes a Hanning window coefficients in two dimensions.

See (https://en.wikipedia.org/wiki/Hann_function) and (https://en.wikipedia.org/wiki/Window_function) for more information.

An example is shown below:

    // create hanning window of size 100x100 and type CV_32F
    Mat hann;
    createHanningWindow(hann, Size(100, 100), CV_32F);

createHanningWindow(dst: Mat, winSize: Size, type_: number): void;

dst

Output destination, filled by the native operation. Destination array to place Hann coefficients in

winSize

The window size specifications (both width and height must be > 1)

type_

Created array type

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.