Package boofcv.alg.misc.impl

Class ImplImageStatistics_MT

java.lang.Object

boofcv.alg.misc.impl.ImplImageStatistics_MT

@Generated("boofcv.alg.misc.impl.ImplImageStatistics")
public class ImplImageStatistics_MT
extends Object

Computes statistical properties of pixels inside an image.

DO NOT MODIFY. Automatically generated code created by GenerateImplImageStatistics

Constructor Summary

Constructors

Constructor	Description
ImplImageStatistics_MT()

Method Summary

Modifier and Type	Method	Description
static void	histogram(GrayF32 input, float minValue, int[] histogram)
static void	histogram(GrayF64 input, double minValue, int[] histogram)
static void	histogram(GrayS16 input, int minValue, int[] histogram)
static void	histogram(GrayS32 input, int minValue, int[] histogram)
static void	histogram(GrayS64 input, long minValue, int[] histogram)
static void	histogram(GrayS8 input, int minValue, int[] histogram)
static void	histogram(GrayU16 input, int minValue, int[] histogram)
static void	histogram(GrayU8 input, int minValue, int[] histogram)
static void	histogramScaled(GrayF32 input, float minValue, float maxValue, int[] histogram)
static void	histogramScaled(GrayF64 input, double minValue, double maxValue, int[] histogram)
static void	histogramScaled(GrayS16 input, int minValue, int maxValue, int[] histogram)
static void	histogramScaled(GrayS32 input, int minValue, int maxValue, int[] histogram)
static void	histogramScaled(GrayS64 input, long minValue, long maxValue, int[] histogram)
static void	histogramScaled(GrayS8 input, int minValue, int maxValue, int[] histogram)
static void	histogramScaled(GrayU16 input, int minValue, int maxValue, int[] histogram)
static void	histogramScaled(GrayU8 input, int minValue, int maxValue, int[] histogram)
static int	max(byte[] array, int startIndex, int rows, int columns, int stride)
static double	max(double[] array, int startIndex, int rows, int columns, int stride)
static float	max(float[] array, int startIndex, int rows, int columns, int stride)
static int	max(int[] array, int startIndex, int rows, int columns, int stride)
static long	max(long[] array, int startIndex, int rows, int columns, int stride)
static int	max(short[] array, int startIndex, int rows, int columns, int stride)
static int	maxAbs(byte[] array, int startIndex, int rows, int columns, int stride)
static double	maxAbs(double[] array, int startIndex, int rows, int columns, int stride)
static float	maxAbs(float[] array, int startIndex, int rows, int columns, int stride)
static int	maxAbs(int[] array, int startIndex, int rows, int columns, int stride)
static long	maxAbs(long[] array, int startIndex, int rows, int columns, int stride)
static int	maxAbs(short[] array, int startIndex, int rows, int columns, int stride)
static int	maxAbsU(byte[] array, int startIndex, int rows, int columns, int stride)
static int	maxAbsU(short[] array, int startIndex, int rows, int columns, int stride)
static int	maxU(byte[] array, int startIndex, int rows, int columns, int stride)
static int	maxU(short[] array, int startIndex, int rows, int columns, int stride)
static double	meanDiffAbs(byte[] dataA, int startIndexA, int strideA, byte[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbs(double[] dataA, int startIndexA, int strideA, double[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbs(float[] dataA, int startIndexA, int strideA, float[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbs(int[] dataA, int startIndexA, int strideA, int[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbs(long[] dataA, int startIndexA, int strideA, long[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbs(short[] dataA, int startIndexA, int strideA, short[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbsU(byte[] dataA, int startIndexA, int strideA, byte[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffAbsU(short[] dataA, int startIndexA, int strideA, short[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(byte[] dataA, int startIndexA, int strideA, byte[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(double[] dataA, int startIndexA, int strideA, double[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(float[] dataA, int startIndexA, int strideA, float[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(int[] dataA, int startIndexA, int strideA, int[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(long[] dataA, int startIndexA, int strideA, long[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSq(short[] dataA, int startIndexA, int strideA, short[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSqU(byte[] dataA, int startIndexA, int strideA, byte[] dataB, int startIndexB, int strideB, int rows, int columns)
static double	meanDiffSqU(short[] dataA, int startIndexA, int strideA, short[] dataB, int startIndexB, int strideB, int rows, int columns)
static int	min(byte[] array, int startIndex, int rows, int columns, int stride)
static double	min(double[] array, int startIndex, int rows, int columns, int stride)
static float	min(float[] array, int startIndex, int rows, int columns, int stride)
static int	min(int[] array, int startIndex, int rows, int columns, int stride)
static long	min(long[] array, int startIndex, int rows, int columns, int stride)
static int	min(short[] array, int startIndex, int rows, int columns, int stride)
static int	minU(byte[] array, int startIndex, int rows, int columns, int stride)
static int	minU(short[] array, int startIndex, int rows, int columns, int stride)
static float	sum(GrayF32 img)
static double	sum(GrayF64 img)
static int	sum(GrayS16 img)
static int	sum(GrayS32 img)
static long	sum(GrayS64 img)
static int	sum(GrayS8 img)
static int	sum(GrayU16 img)
static int	sum(GrayU8 img)
static float	sum(InterleavedF32 img)
static double	sum(InterleavedF64 img)
static int	sum(InterleavedS16 img)
static int	sum(InterleavedS32 img)
static long	sum(InterleavedS64 img)
static int	sum(InterleavedS8 img)
static int	sum(InterleavedU16 img)
static int	sum(InterleavedU8 img)
static float	sumAbs(GrayF32 img)
static double	sumAbs(GrayF64 img)
static int	sumAbs(GrayS16 img)
static int	sumAbs(GrayS32 img)
static long	sumAbs(GrayS64 img)
static int	sumAbs(GrayS8 img)
static float	sumAbs(InterleavedF32 img)
static double	sumAbs(InterleavedF64 img)
static int	sumAbs(InterleavedS16 img)
static int	sumAbs(InterleavedS32 img)
static long	sumAbs(InterleavedS64 img)
static int	sumAbs(InterleavedS8 img)
static float	variance(GrayF32 img, float mean)
static double	variance(GrayF64 img, double mean)
static double	variance(GrayS16 img, double mean)
static double	variance(GrayS32 img, double mean)
static double	variance(GrayS64 img, double mean)
static double	variance(GrayS8 img, double mean)
static double	variance(GrayU16 img, double mean)
static double	variance(GrayU8 img, double mean)

Methods inherited from class java.lang.Object

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

Constructor Details

ImplImageStatistics_MT

public ImplImageStatistics_MT()

Method Details

minU

public static int minU(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxU

public static int maxU(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbsU

public static int maxAbsU(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSqU

public static double meanDiffSqU(byte[] dataA,
 int startIndexA,
 int strideA,
 byte[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbsU

public static double meanDiffAbsU(byte[] dataA,
 int startIndexA,
 int strideA,
 byte[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static int sum(GrayU8 img)

sum

public static int sum(InterleavedU8 img)

variance

public static double variance(GrayU8 img,
 double mean)

histogram

public static void histogram(GrayU8 input,
 int minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayU8 input,
 int minValue,
 int maxValue,
 int[] histogram)

min

public static int min(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static int max(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static int maxAbs(byte[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(byte[] dataA,
 int startIndexA,
 int strideA,
 byte[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(byte[] dataA,
 int startIndexA,
 int strideA,
 byte[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static int sum(GrayS8 img)

sumAbs

public static int sumAbs(GrayS8 img)

sum

public static int sum(InterleavedS8 img)

sumAbs

public static int sumAbs(InterleavedS8 img)

variance

public static double variance(GrayS8 img,
 double mean)

histogram

public static void histogram(GrayS8 input,
 int minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayS8 input,
 int minValue,
 int maxValue,
 int[] histogram)

minU

public static int minU(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxU

public static int maxU(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbsU

public static int maxAbsU(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSqU

public static double meanDiffSqU(short[] dataA,
 int startIndexA,
 int strideA,
 short[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbsU

public static double meanDiffAbsU(short[] dataA,
 int startIndexA,
 int strideA,
 short[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static int sum(GrayU16 img)

sum

public static int sum(InterleavedU16 img)

variance

public static double variance(GrayU16 img,
 double mean)

histogram

public static void histogram(GrayU16 input,
 int minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayU16 input,
 int minValue,
 int maxValue,
 int[] histogram)

min

public static int min(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static int max(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static int maxAbs(short[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(short[] dataA,
 int startIndexA,
 int strideA,
 short[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(short[] dataA,
 int startIndexA,
 int strideA,
 short[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static int sum(GrayS16 img)

sumAbs

public static int sumAbs(GrayS16 img)

sum

public static int sum(InterleavedS16 img)

sumAbs

public static int sumAbs(InterleavedS16 img)

variance

public static double variance(GrayS16 img,
 double mean)

histogram

public static void histogram(GrayS16 input,
 int minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayS16 input,
 int minValue,
 int maxValue,
 int[] histogram)

min

public static int min(int[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static int max(int[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static int maxAbs(int[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(int[] dataA,
 int startIndexA,
 int strideA,
 int[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(int[] dataA,
 int startIndexA,
 int strideA,
 int[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static int sum(GrayS32 img)

sumAbs

public static int sumAbs(GrayS32 img)

sum

public static int sum(InterleavedS32 img)

sumAbs

public static int sumAbs(InterleavedS32 img)

variance

public static double variance(GrayS32 img,
 double mean)

histogram

public static void histogram(GrayS32 input,
 int minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayS32 input,
 int minValue,
 int maxValue,
 int[] histogram)

min

public static long min(long[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static long max(long[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static long maxAbs(long[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(long[] dataA,
 int startIndexA,
 int strideA,
 long[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(long[] dataA,
 int startIndexA,
 int strideA,
 long[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static long sum(GrayS64 img)

sumAbs

public static long sumAbs(GrayS64 img)

sum

public static long sum(InterleavedS64 img)

sumAbs

public static long sumAbs(InterleavedS64 img)

variance

public static double variance(GrayS64 img,
 double mean)

histogram

public static void histogram(GrayS64 input,
 long minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayS64 input,
 long minValue,
 long maxValue,
 int[] histogram)

min

public static float min(float[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static float max(float[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static float maxAbs(float[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(float[] dataA,
 int startIndexA,
 int strideA,
 float[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(float[] dataA,
 int startIndexA,
 int strideA,
 float[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static float sum(GrayF32 img)

sumAbs

public static float sumAbs(GrayF32 img)

sum

public static float sum(InterleavedF32 img)

sumAbs

public static float sumAbs(InterleavedF32 img)

variance

public static float variance(GrayF32 img,
 float mean)

histogram

public static void histogram(GrayF32 input,
 float minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayF32 input,
 float minValue,
 float maxValue,
 int[] histogram)

min

public static double min(double[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

max

public static double max(double[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

maxAbs

public static double maxAbs(double[] array,
 int startIndex,
 int rows,
 int columns,
 int stride)

meanDiffSq

public static double meanDiffSq(double[] dataA,
 int startIndexA,
 int strideA,
 double[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

meanDiffAbs

public static double meanDiffAbs(double[] dataA,
 int startIndexA,
 int strideA,
 double[] dataB,
 int startIndexB,
 int strideB,
 int rows,
 int columns)

sum

public static double sum(GrayF64 img)

sumAbs

public static double sumAbs(GrayF64 img)

sum

public static double sum(InterleavedF64 img)

sumAbs

public static double sumAbs(InterleavedF64 img)

variance

public static double variance(GrayF64 img,
 double mean)

histogram

public static void histogram(GrayF64 input,
 double minValue,
 int[] histogram)

histogramScaled

public static void histogramScaled(GrayF64 input,
 double minValue,
 double maxValue,
 int[] histogram)