TopHatImage_AnyKernel
Performs a morphological white top hat operation on a image using an arbitrary kernel.
Syntax
C++
Python
def TopHatImage_AnyKernel( inImage: Image, inKernel: Region, outImage: Image, /, *, inRoi: Region | None = None, inSourceRoi: Region | None = None, inBorderColor: Pixel | None = None, inKernelAnchor: Location | None = None ) -> None
Parameters
| Name | Type | Default | Description | |
|---|---|---|---|---|
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inImage | Image | Input image | |
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inRoi | Region | None | None | Range of outImage pixels to be computed |
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inSourceRoi | Region | None | None | Range of inImage pixels to be considered in computations |
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inBorderColor | Pixel | None | None | Color of the imaginary pixels outside the image boundaries |
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inKernel | Region | Kernel shape | |
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inKernelAnchor | Location | None | None | A location within inKernel, defining its center |
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outImage | Image | Output image |
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: all formats (when inSourceRoi = NIL and inBorderColor = NIL).
This operation is optimized for NEON technology for pixels of types: all formats (when inSourceRoi = NIL and inBorderColor = NIL).
This operation supports automatic parallelization for multicore and multiprocessor systems.


