ImageStatistics (ip 0.24.1 API)

java.lang.Object
- boofcv.alg.misc.ImageStatistics

```
@Generated(value="boofcv.alg.misc.GenerateImageStatistics")
public class ImageStatistics
extends java.lang.Object
```
Computes statistical properties of pixels inside an image.
DO NOT MODIFY: Generated by boofcv.alg.misc.GenerateImageStatistics
.

Constructor Summary

Constructors
Constructor and Description

ImageStatistics()

Constructors
Constructor and Description
`ImageStatistics()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`histogram(GrayF32 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayF64 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayS16 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayS32 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayS64 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayS8 input, int minValue, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayU16 input, int[] histogram)` Computes the histogram of intensity values for the image.
`static void`	`histogram(GrayU8 input, int[] histogram)` Computes the histogram of intensity values for the image.
`static float`	`max(GrayF32 input)` Returns the maximum element value.
`static double`	`max(GrayF64 input)` Returns the maximum element value.
`static int`	`max(GrayS16 input)` Returns the maximum element value.
`static int`	`max(GrayS32 input)` Returns the maximum element value.
`static long`	`max(GrayS64 input)` Returns the maximum element value.
`static int`	`max(GrayS8 input)` Returns the maximum element value.
`static int`	`max(GrayU16 input)` Returns the maximum element value.
`static int`	`max(GrayU8 input)` Returns the maximum element value.
`static float`	`max(InterleavedF32 input)` Returns the maximum element value.
`static double`	`max(InterleavedF64 input)` Returns the maximum element value.
`static int`	`max(InterleavedS16 input)` Returns the maximum element value.
`static int`	`max(InterleavedS32 input)` Returns the maximum element value.
`static long`	`max(InterleavedS64 input)` Returns the maximum element value.
`static int`	`max(InterleavedS8 input)` Returns the maximum element value.
`static int`	`max(InterleavedU16 input)` Returns the maximum element value.
`static int`	`max(InterleavedU8 input)` Returns the maximum element value.
`static float`	`maxAbs(GrayF32 input)` Returns the maximum element value.
`static double`	`maxAbs(GrayF64 input)` Returns the maximum element value.
`static int`	`maxAbs(GrayS16 input)` Returns the maximum element value.
`static int`	`maxAbs(GrayS32 input)` Returns the maximum element value.
`static long`	`maxAbs(GrayS64 input)` Returns the maximum element value.
`static int`	`maxAbs(GrayS8 input)` Returns the maximum element value.
`static int`	`maxAbs(GrayU16 input)` Returns the maximum element value.
`static int`	`maxAbs(GrayU8 input)` Returns the maximum element value.
`static float`	`maxAbs(InterleavedF32 input)` Returns the maximum element value.
`static double`	`maxAbs(InterleavedF64 input)` Returns the maximum element value.
`static int`	`maxAbs(InterleavedS16 input)` Returns the maximum element value.
`static int`	`maxAbs(InterleavedS32 input)` Returns the maximum element value.
`static long`	`maxAbs(InterleavedS64 input)` Returns the maximum element value.
`static int`	`maxAbs(InterleavedS8 input)` Returns the maximum element value.
`static int`	`maxAbs(InterleavedU16 input)` Returns the maximum element value.
`static int`	`maxAbs(InterleavedU8 input)` Returns the maximum element value.
`static double`	`mean(GrayF32 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayF64 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayS16 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayS32 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayS64 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayS8 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayU16 img)` Returns the mean pixel intensity value.
`static double`	`mean(GrayU8 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedF32 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedF64 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedS16 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedS32 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedS64 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedS8 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedU16 img)` Returns the mean pixel intensity value.
`static double`	`mean(InterleavedU8 img)` Returns the mean pixel intensity value.
`static double`	`meanDiffAbs(GrayF32 imgA, GrayF32 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayF64 imgA, GrayF64 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayS16 imgA, GrayS16 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayS32 imgA, GrayS32 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayS64 imgA, GrayS64 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayS8 imgA, GrayS8 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayU16 imgA, GrayU16 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(GrayU8 imgA, GrayU8 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedF32 imgA, InterleavedF32 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedF64 imgA, InterleavedF64 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedS16 imgA, InterleavedS16 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedS32 imgA, InterleavedS32 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedS64 imgA, InterleavedS64 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedS8 imgA, InterleavedS8 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedU16 imgA, InterleavedU16 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffAbs(InterleavedU8 imgA, InterleavedU8 imgB)` Computes the mean of absolute value error between the two images.
`static double`	`meanDiffSq(GrayF32 imgA, GrayF32 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayF64 imgA, GrayF64 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayS16 imgA, GrayS16 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayS32 imgA, GrayS32 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayS64 imgA, GrayS64 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayS8 imgA, GrayS8 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayU16 imgA, GrayU16 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(GrayU8 imgA, GrayU8 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedF32 imgA, InterleavedF32 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedF64 imgA, InterleavedF64 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedS16 imgA, InterleavedS16 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedS32 imgA, InterleavedS32 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedS64 imgA, InterleavedS64 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedS8 imgA, InterleavedS8 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedU16 imgA, InterleavedU16 imgB)` Computes the mean squared error (MSE) between the two images.
`static double`	`meanDiffSq(InterleavedU8 imgA, InterleavedU8 imgB)` Computes the mean squared error (MSE) between the two images.
`static float`	`min(GrayF32 input)` Returns the minimum element value.
`static double`	`min(GrayF64 input)` Returns the minimum element value.
`static int`	`min(GrayS16 input)` Returns the minimum element value.
`static int`	`min(GrayS32 input)` Returns the minimum element value.
`static long`	`min(GrayS64 input)` Returns the minimum element value.
`static int`	`min(GrayS8 input)` Returns the minimum element value.
`static int`	`min(GrayU16 input)` Returns the minimum element value.
`static int`	`min(GrayU8 input)` Returns the minimum element value.
`static float`	`min(InterleavedF32 input)` Returns the minimum element value.
`static double`	`min(InterleavedF64 input)` Returns the minimum element value.
`static int`	`min(InterleavedS16 input)` Returns the minimum element value.
`static int`	`min(InterleavedS32 input)` Returns the minimum element value.
`static long`	`min(InterleavedS64 input)` Returns the minimum element value.
`static int`	`min(InterleavedS8 input)` Returns the minimum element value.
`static int`	`min(InterleavedU16 input)` Returns the minimum element value.
`static int`	`min(InterleavedU8 input)` Returns the minimum element value.
`static float`	`sum(GrayF32 img)` Returns the sum of all the pixels in the image.
`static double`	`sum(GrayF64 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(GrayS16 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(GrayS32 img)` Returns the sum of all the pixels in the image.
`static long`	`sum(GrayS64 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(GrayS8 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(GrayU16 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(GrayU8 img)` Returns the sum of all the pixels in the image.
`static float`	`sum(InterleavedF32 img)` Returns the sum of all the pixels in the image.
`static double`	`sum(InterleavedF64 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(InterleavedS16 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(InterleavedS32 img)` Returns the sum of all the pixels in the image.
`static long`	`sum(InterleavedS64 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(InterleavedS8 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(InterleavedU16 img)` Returns the sum of all the pixels in the image.
`static int`	`sum(InterleavedU8 img)` Returns the sum of all the pixels in the image.
`static double`	`variance(GrayF32 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayF64 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayS16 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayS32 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayS64 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayS8 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayU16 img, double mean)` Computes the variance of pixel intensity values inside the image.
`static double`	`variance(GrayU8 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(GrayU8 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static int min(InterleavedU8 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static int max(GrayU8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static int max(InterleavedU8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(GrayU8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(InterleavedU8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayU8 imgA,
                                GrayU8 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedU8 imgA,
                                InterleavedU8 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(GrayU8 imgA,
                                 GrayU8 imgB)
```
    Computes the mean of absolute value error 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(InterleavedU8 imgA,
                                 InterleavedU8 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static int sum(GrayU8 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayU8 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static int sum(InterleavedU8 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedU8 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayU8 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
  - histogram
```
public static void histogram(GrayU8 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(GrayS8 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static int min(InterleavedS8 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static int max(GrayS8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static int max(InterleavedS8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(GrayS8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(InterleavedS8 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayS8 imgA,
                                GrayS8 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedS8 imgA,
                                InterleavedS8 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(GrayS8 imgA,
                                 GrayS8 imgB)
```
    Computes the mean of absolute value error 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(InterleavedS8 imgA,
                                 InterleavedS8 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static int sum(GrayS8 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayS8 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static int sum(InterleavedS8 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedS8 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayS8 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
  - histogram
```
public static void histogram(GrayS8 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(GrayU16 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static int min(InterleavedU16 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static int max(GrayU16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static int max(InterleavedU16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(GrayU16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(InterleavedU16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayU16 imgA,
                                GrayU16 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedU16 imgA,
                                InterleavedU16 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(GrayU16 imgA,
                                 GrayU16 imgB)
```
    Computes the mean of absolute value error 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(InterleavedU16 imgA,
                                 InterleavedU16 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static int sum(GrayU16 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayU16 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static int sum(InterleavedU16 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedU16 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayU16 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
  - histogram
```
public static void histogram(GrayU16 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(GrayS16 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static int min(InterleavedS16 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static int max(GrayS16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static int max(InterleavedS16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(GrayS16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(InterleavedS16 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayS16 imgA,
                                GrayS16 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedS16 imgA,
                                InterleavedS16 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(GrayS16 imgA,
                                 GrayS16 imgB)
```
    Computes the mean of absolute value error 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(InterleavedS16 imgA,
                                 InterleavedS16 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static int sum(GrayS16 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayS16 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static int sum(InterleavedS16 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedS16 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayS16 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
  - histogram
```
public static void histogram(GrayS16 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(GrayS32 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static int min(InterleavedS32 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static int max(GrayS32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static int max(InterleavedS32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(GrayS32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static int maxAbs(InterleavedS32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayS32 imgA,
                                GrayS32 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedS32 imgA,
                                InterleavedS32 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(GrayS32 imgA,
                                 GrayS32 imgB)
```
    Computes the mean of absolute value error 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(InterleavedS32 imgA,
                                 InterleavedS32 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static int sum(GrayS32 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayS32 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static int sum(InterleavedS32 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedS32 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayS32 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
  - histogram
```
public static void histogram(GrayS32 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(GrayS64 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static long min(InterleavedS64 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static long max(GrayS64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static long max(InterleavedS64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static long maxAbs(GrayS64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static long maxAbs(InterleavedS64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayS64 imgA,
                                GrayS64 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedS64 imgA,
                                InterleavedS64 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(GrayS64 imgA,
                                 GrayS64 imgB)
```
    Computes the mean of absolute value error 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(InterleavedS64 imgA,
                                 InterleavedS64 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static long sum(GrayS64 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayS64 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static long sum(InterleavedS64 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedS64 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayS64 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
  - histogram
```
public static void histogram(GrayS64 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(GrayF32 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static float min(InterleavedF32 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static float max(GrayF32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static float max(InterleavedF32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static float maxAbs(GrayF32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static float maxAbs(InterleavedF32 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayF32 imgA,
                                GrayF32 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedF32 imgA,
                                InterleavedF32 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(GrayF32 imgA,
                                 GrayF32 imgB)
```
    Computes the mean of absolute value error 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(InterleavedF32 imgA,
                                 InterleavedF32 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static float sum(GrayF32 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayF32 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static float sum(InterleavedF32 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedF32 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayF32 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
  - histogram
```
public static void histogram(GrayF32 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(GrayF64 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - min
```
public static double min(InterleavedF64 input)
```
    Returns the minimum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Minimum pixel value.
  - max
```
public static double max(GrayF64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - max
```
public static double max(InterleavedF64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static double maxAbs(GrayF64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - maxAbs
```
public static double maxAbs(InterleavedF64 input)
```
    Returns the maximum element value.
    
    Parameters:
    
    input - Input image. Not modified.
    
    Returns:
    
    Maximum pixel value.
  - meanDiffSq
```
public static double meanDiffSq(GrayF64 imgA,
                                GrayF64 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.
  - meanDiffSq
```
public static double meanDiffSq(InterleavedF64 imgA,
                                InterleavedF64 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(GrayF64 imgA,
                                 GrayF64 imgB)
```
    Computes the mean of absolute value error 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(InterleavedF64 imgA,
                                 InterleavedF64 imgB)
```
    Computes the mean of absolute value error between the two images.
    
    Parameters:
    
    imgA - first image. Not modified.
    
    imgB - second image. Not modified.
    
    Returns:
    
    error between the two images.
  - sum
```
public static double sum(GrayF64 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(GrayF64 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - sum
```
public static double sum(InterleavedF64 img)
```
    Returns the sum of all the pixels in the image.
    
    Parameters:
    
    img - Input image. Not modified.
  - mean
```
public static double mean(InterleavedF64 img)
```
    Returns the mean pixel intensity value.
    
    Parameters:
    
    img - Input image. Not modified.
    
    Returns:
    
    Mean pixel intensity value
  - variance
```
public static double variance(GrayF64 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
  - histogram
```
public static void histogram(GrayF64 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.

Class ImageStatistics

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ImageStatistics

Method Detail

min

min

max

max

maxAbs

maxAbs

meanDiffSq

meanDiffSq

meanDiffAbs

meanDiffAbs

sum

mean

sum

mean

variance

histogram

min

min

max

max

maxAbs

maxAbs

meanDiffSq

meanDiffSq

meanDiffAbs

meanDiffAbs

sum

mean

sum

mean

variance

histogram

min

min

max

max

maxAbs

maxAbs

meanDiffSq

meanDiffSq

meanDiffAbs

meanDiffAbs

sum

mean

sum

mean

variance

histogram

min

min

max

max

maxAbs

maxAbs

meanDiffSq

meanDiffSq

meanDiffAbs

meanDiffAbs

sum

mean

sum

mean

variance

histogram

min

min

max

max

maxAbs

maxAbs

meanDiffSq

meanDiffSq

meanDiffAbs