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 |