EqualizeImageHistogram


Maps image pixels to new values to achieve uniform distribution of intensities in the range (0, 255).

Syntax

C++
Python
 
def EqualizeImageHistogram(
	inImage: Image,
	outImage: Image,
	/,
	*,
	inRoi: Region | None = None,
	inSaturateBrightestFraction: float = 0.0,
	inSaturateDarkestFraction: float = 0.0
)
-> None

Parameters

Name Type Range Default Description
Input value inImage Image Input image
Input value inRoi Region | None None Range of pixels to be processed
Input value inSaturateBrightestFraction float 0.0 - 1.0 0.0 Fraction of the brightest pixels skipped during normalization
Input value inSaturateDarkestFraction float 0.0 - 1.0 0.0 Fraction of the darkest pixels skipped during normalization
Output value outImage Image Output image

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.