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This filter uses the Canny operator to calculate the image gradient and then finds the magnitude of this gradient vector. The Canny gradient magnitude (square-root sum of squares) is an indication of edge strength.

There are four major steps used in this edge-detection scheme:

(1) Smooth the input image with Gaussian filter.

(2) Calculate the second directional derivatives of the smoothed image.

(3) Non-Maximum Suppression: the zero-crossings of 2nd derivative are found, and the sign of third derivative is used to find the correct extrema.

(4) The hysteresis thresholding is applied to the gradient magnitude (multiplied with zero-crossings) of the smoothed image to find and link edges.



Input image(s).

Type: Image, List, Required, Single



Output image(s).

Type: Image, List


Std Dev [mm] Numbers

Set the standard deviation of the Gaussian smoothing in [mm] specified as [x, y, z].

Maximum Error Numbers

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than “Maximum Error”.

Lower Threshold [Iu] Float

Set the lowest allowed value in the output image.

Upper Threshold [Iu] Float

Set the largest allowed value in the output image.

See also