ximgproc_createSuperpixelLSC

Extended image processingfunctionOpenCV 5.0.0

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

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

Explore visually: SLIC, SEEDS and LSC superpixels →

Group nearby pixels into small coherent regions to reduce the cost of later reasoning.

VISUAL WALKTHROUGHSegmentation

REFERENCE INPUTImage with local structure

The same scene stays here while the working view changes.

→

RESULTRefine image-aware boundaries

Five assignment/mean updates bend regions toward the object boundaries. This colour-spatial clustering example omits native connectivity cleanup.

Computed colour-spatial clustering example. SLIC, SEEDS and LSC use different optimization and connectivity rules.

Class implementing the LSC (Linear Spectral Clustering) superpixels

ximgproc_createSuperpixelLSC(image: Mat, region_size: number, ratio: number): ximgproc_SuperpixelLSC | null;

3 available overloads

ximgproc_createSuperpixelLSC(image: Mat): ximgproc_SuperpixelLSC | null;

ximgproc_createSuperpixelLSC(image: Mat, region_size: number): ximgproc_SuperpixelLSC | null;

ximgproc_createSuperpixelLSC(image: Mat, region_size: number, ratio: number): ximgproc_SuperpixelLSC | null;

image

Image to segment

region_size

Chooses an average superpixel size measured in pixels

ratio

Chooses the enforcement of superpixel compactness factor of superpixel

The function initializes a SuperpixelLSC object for the input image. It sets the parameters of superpixel algorithm, which are: region_size and ruler. It preallocate some buffers for future computing iterations over the given image. An example of LSC is ilustrated in the following picture. For enanched results it is recommended for color images to preprocess image with little gaussian blur with a small 3 x 3 kernel and additional conversion into CieLAB color space.

Returns

The ximgproc_SuperpixelLSC | null result.

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.