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Applies difference of Gaussians on an image, i.e. computes difference of two Gaussian smoothed images.
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 |
Applications
Emphasizes high-frequency image features such as lines or patches / dots.
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.
Complexity Level
This filter is available on Advanced Complexity Level.