boofcv.alg.misc

Class GImageStatistics

java.lang.Object

boofcv.alg.misc.GImageStatistics

public class GImageStatistics
extends java.lang.Object

Generalized version of ImageStatistics. Type checking is performed at runtime instead of at compile type.

Constructor Summary

Constructors

Constructor and Description
GImageStatistics()

Method Summary

Modifier and Type	Method and Description
static void	histogram(ImageGray input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static double	max(ImageBase input) Returns the maximum pixel value across all bands.
static double	maxAbs(ImageBase input) Returns the absolute value of the element with the largest absolute value, across all bands
static double	mean(ImageBase input) Returns the mean pixel intensity value.
static <T extends ImageBase> double	meanDiffAbs(T inputA, T inputB) Computes the mean of the absolute value of the difference between the two images across all bands
static <T extends ImageBase> double	meanDiffSq(T inputA, T inputB) Computes the mean of the difference squared between the two images.
static double	min(ImageBase input) Returns the minimum pixel value across all bands
static double	sum(ImageBase input) Returns the sum of all the pixels in the image across all bands.
static <T extends ImageGray> double	variance(T input, double mean) Computes the variance of pixel intensity values inside the image.

Methods inherited from class java.lang.Object

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

Constructor Detail

GImageStatistics

public GImageStatistics()

Method Detail

maxAbs

public static double maxAbs(ImageBase input)

Returns the absolute value of the element with the largest absolute value, across all bands

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

max

public static double max(ImageBase input)

Returns the maximum pixel value across all bands.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

min

public static double min(ImageBase input)

Returns the minimum pixel value across all bands

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

sum

public static double sum(ImageBase input)

Returns the sum of all the pixels in the image across all bands.

Parameters:

input - Input image. Not modified.

Returns:

Sum of pixel intensity values

mean

public static double mean(ImageBase input)

Returns the mean pixel intensity value.

Parameters:

input - Input image. Not modified.

Returns:

Mean pixel value

variance

public static <T extends ImageGray> double variance(T input,
                                                    double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

input - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static <T extends ImageBase> double meanDiffSq(T inputA,
                                                      T inputB)

Computes the mean of the difference squared between the two images.

Parameters:

inputA - Input image. Not modified.

inputB - Input image. Not modified.

Returns:

Mean difference squared

meanDiffAbs

public static <T extends ImageBase> double meanDiffAbs(T inputA,
                                                       T inputB)

Computes the mean of the absolute value of the difference between the two images across all bands

Parameters:

inputA - Input image. Not modified.

inputB - Input image. Not modified.

Returns:

Mean absolute difference

histogram

public static void histogram(ImageGray input,
                             int minValue,
                             int[] histogram)

Computes the histogram of intensity values for the image. For floating point images it is rounded to the nearest integer using "(int)value".

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value Ignored for unsigned images.

histogram - (output) Storage for histogram. Number of elements must be equal to max value.