OpenImage_Mask


Removes small bright structures from an image (or fills in dark ones) by applying consecutive erosion and dilation.

Applications:E.g. removal of the "salt" component of salt-and-pepper noise.

Syntax

C++
Python
 
def OpenImage_Mask(
	inImage: Image,
	outImage: Image,
	/,
	*,
	inRoi: Region | None = None,
	inBorderColor: Pixel | None = None,
	inKernel: MorphologyKernel = MorphologyKernel.Box3x3
)
-> None

Parameters

Name Type Default Description
Input value inImage Image Input image
Input value inRoi Region | None None Range of outImage pixels to be computed
Input value inBorderColor Pixel | None None Color of the imaginary pixels outside the image boundaries
Input value inKernel MorphologyKernel MorphologyKernel.Box3x3 Kernel shape
Output value 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.