Function opencv::imgproc::canny_derivative

pub fn canny_derivative(
    dx: &dyn ToInputArray, 
    dy: &dyn ToInputArray, 
    edges: &mut dyn ToOutputArray, 
    threshold1: f64, 
    threshold2: f64, 
    l2gradient: bool
) -> Result<()>

\overload

Finds edges in an image using the Canny algorithm with custom image gradient.

Parameters

• dx: 16-bit x derivative of input image (CV_16SC1 or CV_16SC3).
• dy: 16-bit y derivative of input image (same type as dx).
• edges: output edge map; single channels 8-bit image, which has the same size as image .
• threshold1: first threshold for the hysteresis procedure.
• threshold2: second threshold for the hysteresis procedure.
• L2gradient: a flag, indicating whether a more accurate norm should be used to calculate the image gradient magnitude ( L2gradient=true ), or whether the default norm is enough ( L2gradient=false ).

C++ default parameters

• l2gradient: false