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BottomHatImage_AnyKernel
Header: | AVL.h |
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Namespace: | avl |
Performs a morphological black top hat (bottom hat) operation on a image using an arbitrary kernel.
Syntax
void avl::BottomHatImage_AnyKernel ( const avl::Image& inImage, atl::Optional<const avl::Region&> inRoi, atl::Optional<const avl::Region&> inSourceRoi, atl::Optional<avl::Pixel> inBorderColor, const avl::Region& inKernel, atl::Optional<const avl::Location&> inKernelAnchor, avl::Image& outImage )
Parameters
Name | Type | Default | Description | |
---|---|---|---|---|
inImage | const Image& | Input image | ||
inRoi | Optional<const Region&> | NIL | Range of outImage pixels to be computed | |
inSourceRoi | Optional<const Region&> | NIL | Range of inImage pixels to be considered in computations | |
inBorderColor | Optional<Pixel> | NIL | Color of the imaginary pixels outside the image boundaries | |
inKernel | const Region& | Selects kernel shape | ||
inKernelAnchor | Optional<const Location&> | NIL | A location within inKernel, defining its center | |
outImage | Image& | Output image |
In-place Processing
This function supports in-place data processing - you can pass the same reference to inImage and outImage
Read more about In-place Computation.
Description
Extracts from image small objects that are darker than surroundings. Uses user-defined kernel.
Is performed by running consecutively two filters. CloseImage_AnyKernel to get the image without small objects and SubtractFromImage to remove everything but them.
Examples
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.
Errors
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Region exceeds an input image in BottomHatImage_AnyKernel. |