GradientMagnitudeImage_Signed


Computes an image of gradient for only selected direction.

Applications:For highly optimized analysis of gradient directions.

Syntax

C++
C#
Python
 
def GradientMagnitudeImage_Signed(
	inImage: Image,
	inEdgeTransition: EdgeTransition,
	inDiffMethod: DifferentiationMethod,
	inGradientOrientation: GradientOrientation,
	inSigned: bool,
	outImage: Image,
	/
)
-> None

Parameters

Name Type Default Description
Input value inImage Image Input image
Input value inEdgeTransition EdgeTransition Defines what is considered as an edge in the image.
Input value inDiffMethod DifferentiationMethod Defines which finite difference approach to use
Input value inGradientOrientation GradientOrientation Defines which gradient orientation to compute
Input value inSigned bool Defines whether or not to output a signed result (true) or just a positive result (false)
Output value outImage Image Output image

Hardware Acceleration

This operation is optimized for SSE41 technology for pixels of type: UINT8.

This operation is optimized for AVX2 technology for pixels of type: UINT8.

This operation is optimized for NEON technology for pixels of type: UINT8.

This operation supports automatic parallelization for multicore and multiprocessor systems.