KernelPrim Node
KernelPrim generates a 'kernel', refering to a small matrix used to apply specific effects based on convolution for instance.
Category
Primitive/Kernel
Outputs
| Name | Type | Description |
|---|---|---|
| kernel | Array | Output kernel. |
Parameters
| Name | Type | Description |
|---|---|---|
| kernel | Enumeration | Kernel type. Available values: biweight, cone, cone_smooth, cubic_pulse, disk, lorentzian, smooth_cosine, square, tricube. |
| normalize | Bool | Normalize kernel so that the sum of the elements equals 1, preserving the overall intensity of an heightmap after convolution for instance. |
| radius | Float | Kernel radius with respect to the domain size. |
Example
Corresponding Hesiod file: KernelPrim.hsd. Use [Ctrl+I] in the node editor to import a hsd file within your current project.
Note
Example files are kept up-to-date with the latest version of Hesiod. If you find an error, please open an issue.