boofcv.alg.misc

Class ImageStatistics

java.lang.Object

boofcv.alg.misc.ImageStatistics

public class ImageStatistics
extends Object

Computes statistical properties of pixels inside an image.

DO NOT MODIFY: Generated by boofcv.alg.misc.GenerateImageStatistics

.

Author:

Peter Abeles

Constructor Summary

Constructors

Constructor and Description
ImageStatistics()

Method Summary

Methods

Modifier and Type	Method and Description
static void	histogram(ImageFloat32 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageFloat64 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageSInt16 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageSInt32 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageSInt64 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageSInt8 input, int minValue, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageUInt16 input, int[] histogram) Computes the histogram of intensity values for the image.
static void	histogram(ImageUInt8 input, int[] histogram) Computes the histogram of intensity values for the image.
static float	max(ImageFloat32 input) Returns the maximum element value.
static double	max(ImageFloat64 input) Returns the maximum element value.
static int	max(ImageSInt16 input) Returns the maximum element value.
static int	max(ImageSInt32 input) Returns the maximum element value.
static long	max(ImageSInt64 input) Returns the maximum element value.
static int	max(ImageSInt8 input) Returns the maximum element value.
static int	max(ImageUInt16 input) Returns the maximum element value.
static int	max(ImageUInt8 input) Returns the maximum element value.
static float	maxAbs(ImageFloat32 input) Returns the absolute value of the element with the largest absolute value.
static double	maxAbs(ImageFloat64 input) Returns the absolute value of the element with the largest absolute value.
static int	maxAbs(ImageSInt16 input) Returns the absolute value of the element with the largest absolute value.
static int	maxAbs(ImageSInt32 input) Returns the absolute value of the element with the largest absolute value.
static long	maxAbs(ImageSInt64 input) Returns the absolute value of the element with the largest absolute value.
static int	maxAbs(ImageSInt8 input) Returns the absolute value of the element with the largest absolute value.
static int	maxAbs(ImageUInt16 input) Returns the absolute value of the element with the largest absolute value.
static int	maxAbs(ImageUInt8 input) Returns the absolute value of the element with the largest absolute value.
static double	mean(ImageFloat32 img) Returns the mean pixel intensity value.
static double	mean(ImageFloat64 img) Returns the mean pixel intensity value.
static double	mean(ImageSInt16 img) Returns the mean pixel intensity value.
static double	mean(ImageSInt32 img) Returns the mean pixel intensity value.
static double	mean(ImageSInt64 img) Returns the mean pixel intensity value.
static double	mean(ImageSInt8 img) Returns the mean pixel intensity value.
static double	mean(ImageUInt16 img) Returns the mean pixel intensity value.
static double	mean(ImageUInt8 img) Returns the mean pixel intensity value.
static double	meanDiffAbs(ImageFloat32 imgA, ImageFloat32 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageFloat64 imgA, ImageFloat64 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageSInt16 imgA, ImageSInt16 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageSInt32 imgA, ImageSInt32 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageSInt64 imgA, ImageSInt64 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageSInt8 imgA, ImageSInt8 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageUInt16 imgA, ImageUInt16 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffAbs(ImageUInt8 imgA, ImageUInt8 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageFloat32 imgA, ImageFloat32 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageFloat64 imgA, ImageFloat64 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageSInt16 imgA, ImageSInt16 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageSInt32 imgA, ImageSInt32 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageSInt64 imgA, ImageSInt64 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageSInt8 imgA, ImageSInt8 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageUInt16 imgA, ImageUInt16 imgB) Computes the mean squared error (MSE) between the two images.
static double	meanDiffSq(ImageUInt8 imgA, ImageUInt8 imgB) Computes the mean squared error (MSE) between the two images.
static float	min(ImageFloat32 input) Returns the minimum element value.
static double	min(ImageFloat64 input) Returns the minimum element value.
static int	min(ImageSInt16 input) Returns the minimum element value.
static int	min(ImageSInt32 input) Returns the minimum element value.
static long	min(ImageSInt64 input) Returns the minimum element value.
static int	min(ImageSInt8 input) Returns the minimum element value.
static int	min(ImageUInt16 input) Returns the minimum element value.
static int	min(ImageUInt8 input) Returns the minimum element value.
static float	sum(ImageFloat32 img) Returns the sum of all the pixels in the image.
static double	sum(ImageFloat64 img) Returns the sum of all the pixels in the image.
static int	sum(ImageSInt16 img) Returns the sum of all the pixels in the image.
static int	sum(ImageSInt32 img) Returns the sum of all the pixels in the image.
static long	sum(ImageSInt64 img) Returns the sum of all the pixels in the image.
static int	sum(ImageSInt8 img) Returns the sum of all the pixels in the image.
static int	sum(ImageUInt16 img) Returns the sum of all the pixels in the image.
static int	sum(ImageUInt8 img) Returns the sum of all the pixels in the image.
static double	variance(ImageFloat32 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageFloat64 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageSInt16 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageSInt32 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageSInt64 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageSInt8 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageUInt16 img, double mean) Computes the variance of pixel intensity values inside the image.
static double	variance(ImageUInt8 img, double mean) Computes the variance of pixel intensity values inside the image.

Methods inherited from class java.lang.Object

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

Constructor Detail

ImageStatistics

public ImageStatistics()

Method Detail

min

public static int min(ImageUInt8 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static int max(ImageUInt8 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static int maxAbs(ImageUInt8 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static int sum(ImageUInt8 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageUInt8 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageUInt8 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageUInt8 imgA,
                ImageUInt8 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageUInt8 imgA,
                 ImageUInt8 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageUInt8 input,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

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

min

public static int min(ImageSInt8 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static int max(ImageSInt8 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static int maxAbs(ImageSInt8 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static int sum(ImageSInt8 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageSInt8 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageSInt8 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageSInt8 imgA,
                ImageSInt8 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageSInt8 imgA,
                 ImageSInt8 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageSInt8 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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

min

public static int min(ImageUInt16 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static int max(ImageUInt16 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static int maxAbs(ImageUInt16 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static int sum(ImageUInt16 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageUInt16 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageUInt16 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageUInt16 imgA,
                ImageUInt16 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageUInt16 imgA,
                 ImageUInt16 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageUInt16 input,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

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

min

public static int min(ImageSInt16 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static int max(ImageSInt16 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static int maxAbs(ImageSInt16 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static int sum(ImageSInt16 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageSInt16 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageSInt16 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageSInt16 imgA,
                ImageSInt16 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageSInt16 imgA,
                 ImageSInt16 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageSInt16 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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

min

public static int min(ImageSInt32 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static int max(ImageSInt32 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static int maxAbs(ImageSInt32 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static int sum(ImageSInt32 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageSInt32 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageSInt32 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageSInt32 imgA,
                ImageSInt32 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageSInt32 imgA,
                 ImageSInt32 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageSInt32 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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

min

public static long min(ImageSInt64 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static long max(ImageSInt64 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static long maxAbs(ImageSInt64 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static long sum(ImageSInt64 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageSInt64 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageSInt64 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageSInt64 imgA,
                ImageSInt64 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageSInt64 imgA,
                 ImageSInt64 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageSInt64 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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

min

public static float min(ImageFloat32 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static float max(ImageFloat32 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static float maxAbs(ImageFloat32 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static float sum(ImageFloat32 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageFloat32 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageFloat32 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageFloat32 imgA,
                ImageFloat32 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageFloat32 imgA,
                 ImageFloat32 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageFloat32 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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

min

public static double min(ImageFloat64 input)

Returns the minimum element value.

Parameters:

input - Input image. Not modified.

Returns:

Minimum pixel value.

max

public static double max(ImageFloat64 input)

Returns the maximum element value.

Parameters:

input - Input image. Not modified.

Returns:

Maximum pixel value.

maxAbs

public static double maxAbs(ImageFloat64 input)

Returns the absolute value of the element with the largest absolute value.

Parameters:

input - Input image. Not modified.

Returns:

Largest pixel absolute value.

sum

public static double sum(ImageFloat64 img)

Returns the sum of all the pixels in the image.

Parameters:

img - Input image. Not modified.

mean

public static double mean(ImageFloat64 img)

Returns the mean pixel intensity value.

Parameters:

img - Input image. Not modified.

Returns:

Mean pixel intensity value

variance

public static double variance(ImageFloat64 img,
              double mean)

Computes the variance of pixel intensity values inside the image.

Parameters:

img - Input image. Not modified.

mean - Mean pixel intensity value.

Returns:

Pixel variance

meanDiffSq

public static double meanDiffSq(ImageFloat64 imgA,
                ImageFloat64 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

meanDiffAbs

public static double meanDiffAbs(ImageFloat64 imgA,
                 ImageFloat64 imgB)

Computes the mean squared error (MSE) between the two images.

Parameters:

imgA - first image. Not modified.

imgB - second image. Not modified.

Returns:

error between the two images.

histogram

public static void histogram(ImageFloat64 input,
             int minValue,
             int[] histogram)

Computes the histogram of intensity values for the image.

Parameters:

input - (input) Image.

minValue - (input) Minimum possible intensity value

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