gapi_Canny

gapifunctionOpenCV 5.0.0

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

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

ARGUMENTSimage, threshold1, threshold2, apertureSize

FUNCTIONgapi_Canny

RETURN TYPEGMat

Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

gapi_filters

Finds edges in an image using the Canny algorithm.

The function finds edges in the input image and marks them in the output map edges using the Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The largest value is used to find initial segments of strong edges. See http://en.wikipedia.org/wiki/Canny_edge_detector

Note: Function textual ID is "org.opencv.imgproc.feature.canny"

gapi_Canny(image: GMat, threshold1: number, threshold2: number, apertureSize: number, L2gradient: boolean): GMat;

3 available overloads

gapi_Canny(image: GMat, threshold1: number, threshold2: number): GMat;

gapi_Canny(image: GMat, threshold1: number, threshold2: number, apertureSize: number): GMat;

gapi_Canny(image: GMat, threshold1: number, threshold2: number, apertureSize: number, L2gradient: boolean): GMat;

image: 8-bit input image.
threshold1: first threshold for the hysteresis procedure.
threshold2: second threshold for the hysteresis procedure.
apertureSize: aperture size for the Sobel operator.
L2gradient: a flag, indicating whether a more accurate L_2 norm =\sqrt{(dI/dx)^2 + (dI/dy)^2} should be used to calculate the image gradient magnitude ( L2gradient=true ), or whether the default L_1 norm =|dI/dx|+|dI/dy| is enough ( L2gradient=false ).

Returns

The GMat result. Release returned native handles with using or delete(), including handles nested in results.

Upstream declaration ↗

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