Houdini 21.0 Nodes Copernicus nodes

Edge Detect Copernicus node

Detects edges in the input image.

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Image processing edge detection.

Parameters

Signature

The layer type that the source accepts.

See Signatures for more information.

Mode

Computes the edge based on the Luminance value of the input signal or Per Channel values of RGB and RGBA inputs.

Method

Choose an edge detection method.

Sobel

A 3×3 kernel detector of Sobel filter, which calculates horizontal and vertical approximations of the derivatives of the original image.

Prewitt

A 3×3 kernel detector with less contrast compared to Sobel.

Laplacian

A 3×3 kernel of Laplacian filter. Computes the second derivatives of an image, measuring the rate at which the first derivatives change.

Simple

A simpler 3×3 kernel detector.

Thresholded Sobel

A more complex edge detection algorithm based on Gaussian pre-filter and suppression of the weak and not connected edges.

Normalize

Normalizes the output result, which makes the output values stay in the 0 to 1 range. The normalization constant is based on the maximum values that a 0 to 1 input image could have achieved.

Blur Before

Blurs the initial image before edge detection.

High Threshold

Identifies the strong pixels with intensities higher than the adjusted value. Applicable for the Thresholded Sobel method only.

Inputs

source

An input for the initial image to process.

Outputs

edge

The result of edge detection image processing.

See also

Copernicus nodes