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Edge Detect

Brief Description

Outputs the edge of the source image by computing the gradient magnitude. For color or multi-channel images, several edge detection algorithms are proposed to combine the gradients computed in each channel: - Separate: the gradient magnitude is computed in each channel separately, and the output is a color edge image - RMS: the RMS of per-channel gradients magnitudes is computed - Max: the maximum per-channel gradient magnitude is computed - Tensor: the tensor gradient norm.\

Controls

Parameter / Script Name Type Default Function
Enabled / enabled Boolean On
Red / process_red Boolean On Enable the red channel in output. Otherwise if there's a source the content of the main source is returned instead, else 0
Green / process_green Boolean On Enable the green channel in output. Otherwise if there's a source the content of the main source is returned instead, else 0
Blue / process_blue Boolean On Enable the blue channel in output. Otherwise if there's a source the content of the main source is returned instead, else 0
Alpha / process_alpha Boolean Off Enable the alpha channel in output. Otherwise if there's a source the content of the main source is returned instead, else 0
Size / blur_size Float 2D 0, 0
Bounding Box / rod_mode Choice Expand
- Expand
- Crop to format
- Same as input
Gradient / gradient_combine Choice Separate
- Separate
- RMS
- Max
- Tensor
Mask / mask Image -
Mix / mix_with_source Float 1 Dissolves between the original image at 0 and the image with the effect applied at 1