ComputePercentileThreshold (SciJava Ops Image 1.0.0 API)

java.lang.Object
- org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram<T>
- - org.scijava.ops.image.threshold.percentile.ComputePercentileThreshold<T>

All Implemented Interfaces:

BiConsumer<Histogram1d<T>,T>, Computers.Arity1<Histogram1d<T>,T>
```
public class ComputePercentileThreshold<T extends RealType<T>>
extends AbstractComputeThresholdHistogram<T>
```
Implements a percentile threshold method by Doyle.

Author:

Barry DeZonia, Gabriel Landini

Implementation Note:

op names='threshold.percentile', priority='100.'

Constructor Summary

Constructors
Constructor Description

ComputePercentileThreshold()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static long`	`computeBin(long[] histogram)`	W.
`long`	`computeBin(Histogram1d<T> hist)`

Methods inherited from class org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram
compute

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.function.BiConsumer
andThen

Methods inherited from interface org.scijava.function.Computers.Arity1
accept

- Constructor Detail
  - ComputePercentileThreshold
```
public ComputePercentileThreshold()
```
- Method Detail
  - computeBin
```
public long computeBin(Histogram1d<T> hist)
```
    Specified by:
    
    computeBin in class AbstractComputeThresholdHistogram<T extends RealType<T>>
    
    Parameters:
    
    hist - the Histogram1d
    
    Returns:
    
    the Percentile threshold value
  - computeBin
```
public static long computeBin(long[] histogram)
```
    W. Doyle,"Operation useful for similarity-invariant pattern recognition,"
    Journal of the Association for Computing Machinery, vol. 9,pp.
    259-267,
    1962.
    ported to ImageJ plugin by G.Landini from Antti Niemisto's Matlab
    code
    (relicensed BSD 2-12-13)
    Original Matlab code Copyright (C) 2004 Antti Niemisto
    See http://www.cs.tut.fi/~ant/histthresh/ for an excellent slide
    presentation and the original Matlab code.