cornerMinEigenVal

Image processingfunctionOpenCV 5.0.0

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

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

Explore visually: Shi-Tomasi and Harris corners →

Find locations whose local gradients constrain motion in both image directions.

VISUAL WALKTHROUGHFeatures

REFERENCE INPUTTexture and corners

Corners change intensity in more than one direction; a long straight edge is less distinctive.

→

RESULTRetained keypoint locations

Only well-separated strong corners survive. These detector APIs do not produce descriptors.

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

Calculates the minimal eigenvalue of gradient matrices for corner detection.

The function is similar to cornerEigenValsAndVecs but it calculates and stores only the minimal eigenvalue of the covariance matrix of derivatives, that is, \min(\lambda_1, \lambda_2) in terms of the formulae in the cornerEigenValsAndVecs description.

cornerMinEigenVal(src: Mat, dst: Mat, blockSize: number, ksize: number, borderType: number): void;

3 available overloads

cornerMinEigenVal(src: Mat, dst: Mat, blockSize: number): void;

cornerMinEigenVal(src: Mat, dst: Mat, blockSize: number, ksize: number): void;

cornerMinEigenVal(src: Mat, dst: Mat, blockSize: number, ksize: number, borderType: number): void;

src

Input single-channel 8-bit or floating-point image.

dst

Output destination, filled by the native operation. Image to store the minimal eigenvalues. It has the type CV_32FC1 and the same size as src .

blockSize

Neighborhood size (see the details on #cornerEigenValsAndVecs ).

ksize

Aperture parameter for the Sobel operator.

borderType

Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.

Upstream declaration ↗

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