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Advanced| Module: | FoundationBasic |
|---|
Applies difference of Gaussians on an image, i.e. computes difference of two Gaussian smoothed images.
Applications
Emphasizes high-frequency image features such as lines or patches / dots.
| Name | Type | Range | Description | |
|---|---|---|---|---|
 |
inImage | Image | Input image | |
|
inRoi | Region* | Range of output pixels to be computed | |
|
inStdDev | Real | 0.0 -  |
Smoothing standard deviation for the smaller kernel |
|
inStdDevRatio | Real | 1.0 - |
Defines how many times larger is the second kernel |
|
inKernelRelativeSize | Real | 0.0 - 3.0 | A multiple of the standard deviation determining the size of the kernel |
|
inScale | Real | Output image scaling factor | |
 |
outImage | Image | Output image | |
 |
diagKernelShape | Profile | Middle row of the kernel being used | |
Examples
Description of usage of this filter can be found in examples and tutorial: Pins.
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.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
| Error type | Description |
|---|---|
| DomainError | Region exceeds an input image in DifferenceOfGaussians. |
Complexity Level
This filter is available on Advanced Complexity Level.
