WLJS LogoWLJS Notebook

GradientFilter

GradientFilter[data, r] gives the magnitude of the gradient of data, computed using discrete derivatives of a Gaussian of sample radius r.

  • GradientFilter[data, {r, σ}] uses a Gaussian with standard deviation σ.
  • GradientFilter[data, {{r1, r2, …}, …}] uses a Gaussian with radius ri at level i in data.

Examples

GradientFilter[ExampleData[{"TestImage", "Lena"}], 2]
GradientFilter[image, 3]

Please visit the official Wolfram Language Reference for more details.

On this page