Package qupath.lib.experimental.pixels

Class MeasurementProcessor.Functions

java.lang.Object

qupath.lib.experimental.pixels.MeasurementProcessor.Functions

Enclosing class:

MeasurementProcessor

public static class MeasurementProcessor.Functions
extends Object

Functions for calculating measurements from an array of pixels.

Constructor Summary

Constructors

Constructor	Description
Functions()

Method Summary

Modifier and Type	Method	Description
static Function<double[],Double>	max()	Create a function to calculate the maximum value of an array.
static Function<double[],Double>	mean()	Create a function to calculate the mean (average) value of an array.
static Function<double[],Double>	min()	Create a function to calculate the minimum value of an array.
static Function<double[][],Double>	pearsonsCorrelation()	Create a function to calculate Pearson's correlation coefficient.
static Function<double[],Double>	percentile(double percentile)	Create a function to calculate a percentile.
static Function<double[][],Double>	spearmansCorrelation()	Create a function to calculate Spearman's correlation coefficient.

Methods inherited from class java.lang.Object

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

Constructor Details

Functions

public Functions()

Method Details

percentile

public static Function<double[],Double> percentile(double percentile)

Create a function to calculate a percentile.

Parameters:

percentile -

Returns:

min

public static Function<double[],Double> min()

Create a function to calculate the minimum value of an array.

Returns:

max

public static Function<double[],Double> max()

Create a function to calculate the maximum value of an array.

Returns:

mean

public static Function<double[],Double> mean()

Create a function to calculate the mean (average) value of an array.

Returns:

pearsonsCorrelation

public static Function<double[][],Double> pearsonsCorrelation()

Create a function to calculate Pearson's correlation coefficient. This requires a double[2][n] input array, where n is the number of pixels.

Returns:

spearmansCorrelation

public static Function<double[][],Double> spearmansCorrelation()

Create a function to calculate Spearman's correlation coefficient. This requires a double[2][n] input array, where n is the number of pixels.

Returns: