Canny
Documentation
- Class name:
Canny - Category:
image/preprocessors - Output node:
False
The Canny node is designed for edge detection in images, utilizing the Canny algorithm to identify and highlight the edges. This process involves applying a series of filters to the input image to detect areas of high gradient, which correspond to edges, thereby enhancing the image's structural details.
输入类型
| Parameter | Comfy dtype | Description |
|---|---|---|
image | IMAGE | The input image to be processed for edge detection. It is crucial as it serves as the base for the edge detection operation. |
low_threshold | FLOAT | The lower threshold for the hysteresis procedure in edge detection. It determines the minimum intensity gradient considered for an edge, affecting the sensitivity of edge detection. |
high_threshold | FLOAT | The upper threshold for the hysteresis procedure in edge detection. It sets the maximum intensity gradient considered for an edge, influencing the selectivity of edge detection. |
输出类型
| Parameter | Comfy dtype | Description |
|---|---|---|
image | IMAGE | The output is an image with highlighted edges, where the edges are detected using the Canny algorithm. This enhances the structural details of the original image. |