Package boofcv.alg.misc

Class ImageNormalization

java.lang.Object

boofcv.alg.misc.ImageNormalization

public class ImageNormalization
extends Object

Functions related to adjusting input pixels to ensure they have a known and fixed range. Can handle the conversion of integer to float images. Output is always float.

Constructor Summary

Constructors

Constructor	Description
ImageNormalization()

Method Summary

Modifier and Type	Method	Description
static void	apply(ImageGray input, NormalizeParameters parameter, ImageGray output)	Applies the normalization to the image.
static void	maxAbsOfOne(ImageGray input, ImageGray output, @Nullable NormalizeParameters parameters)	Normalizes the image so that the max abs of the image is 1.
static void	zeroMeanMaxOne(ImageGray input, ImageGray output, @Nullable NormalizeParameters parameters)	Ensures that the output image has a mean zero and a max abs(pixel) of 1
static void	zeroMeanStdOne(ImageGray input, ImageGray output, @Nullable NormalizeParameters parameters)	Ensures that the output image has a mean zero and a standard deviation of 1.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ImageNormalization

public ImageNormalization()

Method Details

apply

public static void apply(ImageGray input,
 NormalizeParameters parameter,
 ImageGray output)

Applies the normalization to the image.

Parameters:

input - Input image.

parameter - Normalziation parameters

output - Output image. Can be the same instance as the input image.

maxAbsOfOne

public static void maxAbsOfOne(ImageGray input,
 ImageGray output,
 @Nullable
 @Nullable NormalizeParameters parameters)

Normalizes the image so that the max abs of the image is 1.

Parameters:

input - Input image

output - Scaled output image.

parameters - the parameters

zeroMeanMaxOne

public static void zeroMeanMaxOne(ImageGray input,
 ImageGray output,
 @Nullable
 @Nullable NormalizeParameters parameters)

Ensures that the output image has a mean zero and a max abs(pixel) of 1

Parameters:

input - Input image

output - Scaled output image.

zeroMeanStdOne

public static void zeroMeanStdOne(ImageGray input,
 ImageGray output,
 @Nullable
 @Nullable NormalizeParameters parameters)

Ensures that the output image has a mean zero and a standard deviation of 1. This is often the recommended approach.

Parameters:

input - Input image

output - Scaled output image.