ximgproc_thinning

Extended image processingfunctionOpenCV 5.0.0

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

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

Explore visually: Skeleton thinning →

Iteratively remove boundary pixels while trying to preserve the connectivity of a binary shape.

VISUAL WALKTHROUGHMorphology

REFERENCE INPUTBinary mask

Two objects and a single-pixel speck make growth, shrinkage and cleanup easy to compare.

→

RESULTChanged foreground

100 foreground pixels become 10. Zhang-Suen sub-iterations remove boundary pixels while preserving connectivity. The final skeleton is computed from this mask.

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

Applies a binary blob thinning operation, to achieve a skeletization of the input image.

The function transforms a binary blob image into a skeletized form using the technique of Zhang-Suen.

ximgproc_thinning(src: Mat, dst: Mat, thinningType: number): void;

2 available overloads

ximgproc_thinning(src: Mat, dst: Mat): void;

ximgproc_thinning(src: Mat, dst: Mat, thinningType: number): void;

src

Source 8-bit single-channel image, containing binary blobs, with blobs having 255 pixel values.

dst

Output destination, filled by the native operation. Destination image of the same size and the same type as src. The function can work in-place.

thinningType

Value that defines which thinning algorithm should be used. See cv::ximgproc::ThinningTypes

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.