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SmoothImage_Gauss
Smooths an image using a gaussian kernel.
| Name | Type | Range | Description | |
|---|---|---|---|---|
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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.
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SmoothImage_Gauss performed on a sample image with inStdDevX = 3.0.
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL.
This operation is optimized for SSE41 technology for pixels of type: UINT16.
This operation is optimized for AVX2 technology for pixels of types: UINT8, SINT16, UINT16, 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.
