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Performs a morphological black top hat (bottom hat) operation on a image using a predefined mask.
Namespace: | FilNet |
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Assembly: | FIL.NET.dll |
Syntax
public static void BottomHatImage_Mask ( FilNet.Image inImage, NullableRef<FilNet.Region> inRoi, FilNet.Pixel? inBorderColor, FilNet.MorphologyKernel inKernel, FilNet.Image outImage )
Parameters
Name | Type | Range | Default | Description | |
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![]() | inImage | FilNet.Image | Input image. | ||
![]() | inRoi | FilNet.NullableRef<FilNet.Region> | Range of outImage pixels to be computed. Default value: ftl::NIL. | ||
![]() | inBorderColor | FilNet.Pixel? | Color of the imaginary pixels outside the image boundaries. Default value: ftl::NIL. | ||
![]() | inKernel | FilNet.MorphologyKernel | Selects kernel shape. | ||
![]() | outImage | FilNet.Image | Output image. |
Description
Extracts from image small objects that are darker than surroundings. Uses predefined mask.
Is performed by running consecutively two filters. CloseImage_Mask to get the image without small objects and SubtractFromImage to remove everything but them.
Examples
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Bottom Hat used to remove bigger objects. Used parameters inKernel=Box5x5. Source image on the left and result on the right.
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.
Hardware acceleration settings may be manipulated with Settings class.
Errors
List of possible exceptions:
Error type | Description |
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DomainError | Region exceeds an input image in BottomHatImage_Mask. |