Back to Adaptive Vision Studio website
You are here: Start » Filter Reference » Image Local Transforms » SmoothImage_Gauss
Smooths an image using a gaussian kernel.
Name | Type | Range | Description | |
---|---|---|---|---|
inImage | Image | Input image | ||
inRoi | Region* | Range of output pixels to be computed | ||
inStdDevX | Real | 0.0 - | Horizontal smoothing standard deviation | |
inStdDevY | Real* | 0.0 - | Vertical smoothing standard deviation | |
inKernelRelativeSize | Real | 0.0 - 3.0 | A multiple of the standard deviation determining the size of the kernel | |
outImage | Image | Output image | ||
diagKernelRadiusX | Integer | Horizontal radius of Gaussian kernel being used | ||
diagKernelRadiusY | Integer | Vertical radius of Gaussian kernel being used |
Applications
Removal of gaussian noise from images.
Hints
- To make smoothing stronger, increase the inStdDevX and - optionally - inStdDevY.
- Increase inKernelRelativeSize to achieve better quality at the cost of a bit longer execution time.
- For small kernels consider switching to SmoothImage_Gauss_Mask to achieve the highest performance.
Examples
Description of usage of this filter can be found in examples and tutorial: Blister Inspection (NET GmbH), Fertilizer Granulation, HMI Configuration Page, Image Modification Using the HMI, Using HMI multipanel control.
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filter is member of SmoothImage filter group.