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BottomHatImage_Mask


Module: FoundationLite

Performs a morphological black top hat (bottom hat) operation on a image using a predefined mask.

Name Type Description
Input value inImage Image Input image
Input value inRoi Region* Range of outImage pixels to be computed
Input value inBorderColor Pixel* Color of the imaginary pixels outside the image boundaries
Input value inKernel MorphologyKernel Selects kernel shape
Output value outImage 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

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.

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 BottomHatImage_Mask.

Complexity Level

This filter is available on Basic Complexity Level.

Filter Group

This filter is member of BottomHatImage filter group.