java.lang.Object
- net.imglib2.histogram.Histogram1d<T>

All Implemented Interfaces:

java.lang.Iterable<LongType>, Dimensions, EuclideanSpace, Img<LongType>, Interval, IterableInterval<LongType>, IterableRealInterval<LongType>, RandomAccessible<LongType>, RandomAccessibleInterval<LongType>, RealInterval, Typed<LongType>
```
public class Histogram1d<T>
extends java.lang.Object
implements Img<LongType>
```
A Histogram1d is a histogram that tracks up to four kinds of values: 1) values in the center of the distribution 2) values to the left of the center of the distribution (lower tail) 3) values to the right of the center of the distribution (upper tail) 4) values outside the other areas
Note: the last three classifications may not be present depending upon the makeup of the input data.

Field Summary

Fields
Modifier and Type	Field	Description
`private DiscreteFrequencyDistribution`	`distrib`
`private T`	`firstValue`
`private long`	`ignoredCount`
`private BinMapper1d<T>`	`mapper`
`private long[]`	`pos`

Constructor Summary

Constructors
Constructor	Description
`Histogram1d(java.lang.Iterable<T> data, BinMapper1d<T> mapper)`	Construct a histogram from an iterable set of data and a bin mapping algorithm.
`Histogram1d(BinMapper1d<T> mapper)`	Construct a histogram from a bin mapping algorithm.
`Histogram1d(Histogram1d<T> other)`	Construct a histogram whose bin mappings match another histogram.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`private void`	`add(java.lang.Iterable<T> data)`
`void`	`addData(java.lang.Iterable<T> data)`	Counts additional data contained in a given iterable collection.
`Histogram1d<T>`	`copy()`
`void`	`countData(java.lang.Iterable<T> data)`	Counts the data contained in the given data source using the underlying bin distribution.
`Cursor<LongType>`	`cursor()`	Returns a `RealCursor` that iterates with optimal speed without calculating the location at each iteration step.
`void`	`decrement(long binPos)`	Directly decrement a bin by position.
`void`	`decrement(T value)`	Directly decrement a bin by value,
`DiscreteFrequencyDistribution`	`dfd()`	Get the discrete frequency distribution associated with this histogram.
`long`	`dimension(int d)`	Return the size of the given dimension of the frequency distribution of this histogram.
`void`	`dimensions(long[] dims)`	Fill the provided long[] with the sizes of all dimensions of the frequency distribution of this histogram.
`long`	`distributionCount()`	Returns the frequency count of all values in the distribution: lower tail + middle + upper tail.
`ImgFactory<LongType>`	`factory()`	Get a `ImgFactory` that creates `Img`s of the same kind as this one.
`T`	`firstDataValue()`	Returns the first data value of the input iteration.
`LongType`	`firstElement()`	Get the first element of this `IterableRealInterval`.
`long`	`frequency(long binPos)`	Returns the frequency count of the values within a bin.
`long`	`frequency(T value)`	Returns the frequency count of values within a bin using a representative value.
`long`	`getBinCount()`	Returns the number of bins contained in the histogram.
`void`	`getCenterValue(long binPos, T value)`	Gets the value associated with the center of a bin.
`void`	`getLowerBound(long binPos, T value)`	Gets the value associated with the left edge of a bin.
`LongType`	`getType()`	Get an instance of `T`.
`void`	`getUpperBound(long binPos, T value)`	Gets the value associated with the right edge of the bin.
`boolean`	`hasTails()`	Returns true if the histogram has tail bins at both ends which count extreme values.
`long`	`ignoredCount()`	Returns the frequency count of values that were ignored because they could not be mapped to any bin.
`boolean`	`includesLowerBound(long binPos)`	Returns true if the given bin interval is closed on the left
`boolean`	`includesUpperBound(long binPos)`	Returns true if the given bin interval is closed on the right
`void`	`increment(long binPos)`	Directly increment a bin by position.
`void`	`increment(T value)`	Directly increment a bin by value.
`private void`	`init(java.lang.Iterable<T> data)`
`boolean`	`isInLowerTail(T value)`	Returns true if a given value is mapped to the lower tail of the distribution.
`boolean`	`isInMiddle(T value)`	Returns true if a given value is mapped to the middle of the distribution.
`boolean`	`isInUpperTail(T value)`	Returns true if a given value is mapped to the upper tail of the distribution.
`boolean`	`isOutside(T value)`	Returns true if a given value is outside the distribution.
`java.lang.Object`	`iterationOrder()`	Returns the iteration order of this `IterableRealInterval`.
`java.util.Iterator<LongType>`	`iterator()`
`Cursor<LongType>`	`localizingCursor()`	Returns a `RealLocalizable` `Iterator` that calculates its location at each iteration step.
`long`	`lowerTailCount()`	Returns the frequency count of values in the lower tail bin (if any).
`long`	`map(T value)`	Returns a bin position by mapping from a representative value.
`long`	`max()`
`long`	`max(int d)`	Get the maximum in dimension d.
`void`	`max(long[] max)`	Write the maximum of each dimension into long[].
`void`	`max(Positionable max)`	Sets a `Positionable` to the maximum of this `Interval`
`long`	`min()`
`long`	`min(int d)`	Get the minimum in dimension d.
`void`	`min(long[] min)`	Write the minimum of each dimension into long[].
`void`	`min(Positionable min)`	Sets a `Positionable` to the minimum of this `Interval`
`int`	`numDimensions()`	Return the number of dimensions of the frequency distribution of this histogram.
`RandomAccess<LongType>`	`randomAccess()`	Create a random access sampler for integer coordinates.
`RandomAccess<LongType>`	`randomAccess(Interval interval)`	Create a random access sampler for integer coordinates.
`double`	`realMax()`
`void`	`realMax(double[] max)`	Write the maximum of each dimension into double[].
`double`	`realMax(int d)`	Get the maximum in dimension d.
`void`	`realMax(RealPositionable max)`	Sets a `RealPositionable` to the maximum of this `Interval`
`double`	`realMin()`
`void`	`realMin(double[] min)`	Write the minimum of each dimension into double[].
`double`	`realMin(int d)`	Get the minimum in dimension d.
`void`	`realMin(RealPositionable min)`	Sets a `RealPositionable` to the minimum of this `Interval`
`double`	`relativeFrequency(long binPos, boolean includeTails)`	Returns the relative frequency of values within a bin.
`double`	`relativeFrequency(T value, boolean includeTails)`	Returns the relative frequency of values within a bin using a representative value.
`private void`	`reset()`
`void`	`resetCounters()`	Resets all data counts to 0.
`long`	`size()`	Returns the number of elements in this `Function`.
`private void`	`subtract(java.lang.Iterable<T> data)`
`void`	`subtractData(java.lang.Iterable<T> data)`	Uncounts some original data contained in a given iterable collection.
`long[]`	`toLongArray()`	Returns a bare long[] histogram with the same bin counts as this histogram.
`long`	`totalCount()`	Returns the total count of all values observed; both within and without the entire distribution.
`long`	`upperTailCount()`	Returns the frequency count of values in the upper tail bin (if any).
`long`	`valueCount()`	Returns the frequency count of all values in the middle of the distribution.

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

Methods inherited from interface net.imglib2.Dimensions
dimensions, dimensionsAsLongArray, dimensionsAsPoint

Methods inherited from interface net.imglib2.Interval
maxAsLongArray, maxAsPoint, minAsLongArray, minAsPoint

Methods inherited from interface java.lang.Iterable
forEach

Methods inherited from interface net.imglib2.IterableInterval
localizingSpliterator, spliterator

Methods inherited from interface net.imglib2.IterableRealInterval
parallelStream, stream

Methods inherited from interface net.imglib2.RandomAccessible
getAt, getAt, getAt

Methods inherited from interface net.imglib2.RealInterval
maxAsDoubleArray, maxAsRealPoint, minAsDoubleArray, minAsRealPoint

- Field Detail
  - firstValue
```
private T firstValue
```
  - mapper
```
private BinMapper1d<T> mapper
```
  - distrib
```
private DiscreteFrequencyDistribution distrib
```
  - pos
```
private long[] pos
```
  - ignoredCount
```
private long ignoredCount
```
- Constructor Detail
  - Histogram1d
```
public Histogram1d(BinMapper1d<T> mapper)
```
    Construct a histogram from a bin mapping algorithm. Use countData() to populate it.
    
    Parameters:
    
    mapper - The algorithm used to map values to bins
  - Histogram1d
```
public Histogram1d(Histogram1d<T> other)
```
    Construct a histogram whose bin mappings match another histogram. After this construction the histogram bins are unpopulated.
    
    Parameters:
    
    other - The histogram to copy.
  - Histogram1d
```
public Histogram1d(java.lang.Iterable<T> data,
                   BinMapper1d<T> mapper)
```
    Construct a histogram from an iterable set of data and a bin mapping algorithm.
    
    Parameters:
    
    data - The iterable set of values to calculate upon
    
    mapper - The algorithm used to map values to bins
- Method Detail
  - firstDataValue
```
public T firstDataValue()
```
    Returns the first data value of the input iteration.
  - hasTails
```
public boolean hasTails()
```
    Returns true if the histogram has tail bins at both ends which count extreme values.
  - lowerTailCount
```
public long lowerTailCount()
```
    Returns the frequency count of values in the lower tail bin (if any).
  - upperTailCount
```
public long upperTailCount()
```
    Returns the frequency count of values in the upper tail bin (if any).
  - valueCount
```
public long valueCount()
```
    Returns the frequency count of all values in the middle of the distribution.
  - distributionCount
```
public long distributionCount()
```
    Returns the frequency count of all values in the distribution: lower tail + middle + upper tail. Does not include ignored values.
  - ignoredCount
```
public long ignoredCount()
```
    Returns the frequency count of values that were ignored because they could not be mapped to any bin.
  - totalCount
```
public long totalCount()
```
    Returns the total count of all values observed; both within and without the entire distribution. Thus it includes ignored values. One should decide carefully between using distributionCount() and totalCount().
  - frequency
```
public long frequency(T value)
```
    Returns the frequency count of values within a bin using a representative value. Note that multiple values can be mapped to one bin so this is NOT the frequency count of this exact value in the distribution.
    
    Parameters:
    
    value - A representative value of interest
  - frequency
```
public long frequency(long binPos)
```
    Returns the frequency count of the values within a bin.
  - relativeFrequency
```
public double relativeFrequency(T value,
                                boolean includeTails)
```
    Returns the relative frequency of values within a bin using a representative value. Note that multiple values can be mapped to one bin so this is NOT the relative frequency of this exact value in the distribution.
    This calculation is of the number of values in the bin divided by either the number of values in the distribution or the number of values in the center of the distribution (tails ignored).
    One can devise other ways to count relative frequencies that consider ignored values also. If needed one can use the various count methods and frequency methods to calculate any relative frequency desired.
    
    Parameters:
    
    value - A representative value of interest
    
    includeTails - Flag for determining whether to include tails in calculation.
  - relativeFrequency
```
public double relativeFrequency(long binPos,
                                boolean includeTails)
```
    Returns the relative frequency of values within a bin.
    This calculation is of the number of values in the bin divided by either the number of values in the distribution or the number of values in the center of the distribution (tails ignored).
    One can devise other ways to count relative frequencies that consider ignored values also. If needed one can use the various count methods and frequency methods to calculate any relative frequency desired.
    
    Parameters:
    
    binPos - The position of the bin of interest
    
    includeTails - Flag for determining whether to include tails in calculation.
  - getBinCount
```
public long getBinCount()
```
    Returns the number of bins contained in the histogram.
  - map
```
public long map(T value)
```
    Returns a bin position by mapping from a representative value.
  - getCenterValue
```
public void getCenterValue(long binPos,
                           T value)
```
    Gets the value associated with the center of a bin.
    
    Parameters:
    
    binPos - The bin number of interest
    
    value - The output to fill with the center value
  - getLowerBound
```
public void getLowerBound(long binPos,
                          T value)
```
    Gets the value associated with the left edge of a bin.
    
    Parameters:
    
    binPos - The bin number of interest
    
    value - The output to fill with the left edge value
  - getUpperBound
```
public void getUpperBound(long binPos,
                          T value)
```
    Gets the value associated with the right edge of the bin.
    
    Parameters:
    
    binPos - The bin number of interest
    
    value - The output to fill with the right edge value
  - includesUpperBound
```
public boolean includesUpperBound(long binPos)
```
    Returns true if the given bin interval is closed on the right
    
    Parameters:
    
    binPos - The bin number of the interval of interest
  - includesLowerBound
```
public boolean includesLowerBound(long binPos)
```
    Returns true if the given bin interval is closed on the left
    
    Parameters:
    
    binPos - The bin number of the interval of interest
  - isInLowerTail
```
public boolean isInLowerTail(T value)
```
    Returns true if a given value is mapped to the lower tail of the distribution.
    
    Parameters:
    
    value - The value to determine the location of
  - isInUpperTail
```
public boolean isInUpperTail(T value)
```
    Returns true if a given value is mapped to the upper tail of the distribution.
    
    Parameters:
    
    value - The value to determine the location of
  - isInMiddle
```
public boolean isInMiddle(T value)
```
    Returns true if a given value is mapped to the middle of the distribution.
    
    Parameters:
    
    value - The value to determine the location of
  - isOutside
```
public boolean isOutside(T value)
```
    Returns true if a given value is outside the distribution.
    
    Parameters:
    
    value - The value to determine the location of
  - dfd
```
public DiscreteFrequencyDistribution dfd()
```
    Get the discrete frequency distribution associated with this histogram.
  - countData
```
public void countData(java.lang.Iterable<T> data)
```
    Counts the data contained in the given data source using the underlying bin distribution.
    
    Parameters:
    
    data - The total data to count
  - addData
```
public void addData(java.lang.Iterable<T> data)
```
    Counts additional data contained in a given iterable collection. One can use this to update an existing histogram with a subset of values.
    
    Parameters:
    
    data - The new data to count
  - subtractData
```
public void subtractData(java.lang.Iterable<T> data)
```
    Uncounts some original data contained in a given iterable collection. One can use this to update an existing histogram with a subset of values.
    
    Parameters:
    
    data - The old data to uncount
  - increment
```
public void increment(long binPos)
```
    Directly increment a bin by position.
    
    Parameters:
    
    binPos - The 1-d index of the bin
  - decrement
```
public void decrement(long binPos)
```
    Directly decrement a bin by position.
    
    Parameters:
    
    binPos - The 1-d index of the bin
  - increment
```
public void increment(T value)
```
    Directly increment a bin by value.
    
    Parameters:
    
    value - The value to map to a bin position
  - decrement
```
public void decrement(T value)
```
    Directly decrement a bin by value,
    
    Parameters:
    
    value - The value to map to a bin position
  - resetCounters
```
public void resetCounters()
```
    Resets all data counts to 0.
  - toLongArray
```
public long[] toLongArray()
```
    Returns a bare long[] histogram with the same bin counts as this histogram.
  - numDimensions
```
public int numDimensions()
```
    Return the number of dimensions of the frequency distribution of this histogram.
    
    Specified by:
    
    numDimensions in interface EuclideanSpace
  - dimension
```
public long dimension(int d)
```
    Return the size of the given dimension of the frequency distribution of this histogram.
    
    Specified by:
    
    dimension in interface Dimensions
    
    Specified by:
    
    dimension in interface Interval
  - dimensions
```
public void dimensions(long[] dims)
```
    Fill the provided long[] with the sizes of all dimensions of the frequency distribution of this histogram.
    
    Specified by:
    
    dimensions in interface Dimensions
  - randomAccess
```
public RandomAccess<LongType> randomAccess()
```
    Description copied from interface: RandomAccessible
    Create a random access sampler for integer coordinates.
    The returned random access covers as much of the domain as possible.
    Please note: RandomAccessibleIntervals have a finite domain (their Interval), so RandomAccessible.randomAccess() is only guaranteed to cover this finite domain. This may lead to unexpected results when using Views. In the following code
    RandomAccessible<T> extended = Views.extendBorder( img ) RandomAccessibleInterval<T> cropped = Views.interval( extended, img ); RandomAccess<T> a1 = extended.randomAccess(); RandomAccess<T> a2 = cropped.randomAccess();
    The access a1 on the extended image is valid everywhere. However, somewhat counter-intuitively, the access a2 on the extended and cropped image is only valid on the interval img to which the extended image was cropped. The access is only required to cover this interval, because it is the domain of the cropped image. Views attempts to provide the fastest possible access that meets this requirement, and will therefore strip the extension. To deal with this, if you know that you need to access pixels outside the domain of the RandomAccessibleInterval, and you know that the RandomAccessibleInterval is actually defined beyond its interval boundaries, then use the RandomAccessible.randomAccess(Interval) variant and specify which interval you actually want to access. In the above example,
    RandomAccess<T> a2 = cropped.randomAccess( Intervals.expand( img, 10 ) );
    will provide the extended access as expected.
    Specified by:
    
    randomAccess in interface RandomAccessible<T>
    
    Returns:
    
    random access sampler
  - randomAccess
```
public RandomAccess<LongType> randomAccess(Interval interval)
```
    Description copied from interface: RandomAccessible
    
    Create a random access sampler for integer coordinates.
    The returned random access is intended to be used in the specified interval only. Thus, the RandomAccessible may provide optimized versions. If the interval is completely contained in the domain, the random access is guaranteed to provide the same values as that obtained by RandomAccessible.randomAccess() within the interval.
    
    Specified by:
    
    randomAccess in interface RandomAccessible<T>
    
    Parameters:
    
    interval - in which interval you intend to use the random access.
    
    Returns:
    
    random access sampler
  - min
```
public long min()
```
  - min
```
public long min(int d)
```
    Description copied from interface: Interval
    
    Get the minimum in dimension d.
    
    Specified by:
    
    min in interface Interval
    
    Parameters:
    
    d - dimension
    
    Returns:
    
    minimum in dimension d.
  - min
```
public void min(long[] min)
```
    Description copied from interface: Interval
    
    Write the minimum of each dimension into long[].
    
    Specified by:
    
    min in interface Interval
  - min
```
public void min(Positionable min)
```
    Description copied from interface: Interval
    
    Sets a Positionable to the minimum of this Interval
    
    Specified by:
    
    min in interface Interval
  - max
```
public long max()
```
  - max
```
public long max(int d)
```
    Description copied from interface: Interval
    
    Get the maximum in dimension d.
    
    Specified by:
    
    max in interface Interval
    
    Parameters:
    
    d - dimension
    
    Returns:
    
    maximum in dimension d.
  - max
```
public void max(long[] max)
```
    Description copied from interface: Interval
    
    Write the maximum of each dimension into long[].
    
    Specified by:
    
    max in interface Interval
  - max
```
public void max(Positionable max)
```
    Description copied from interface: Interval
    
    Sets a Positionable to the maximum of this Interval
    
    Specified by:
    
    max in interface Interval
  - realMin
```
public double realMin()
```
  - realMin
```
public double realMin(int d)
```
    Description copied from interface: RealInterval
    
    Get the minimum in dimension d.
    
    Specified by:
    
    realMin in interface Interval
    
    Specified by:
    
    realMin in interface RealInterval
    
    Parameters:
    
    d - dimension
    
    Returns:
    
    minimum in dimension d.
  - realMin
```
public void realMin(double[] min)
```
    Description copied from interface: RealInterval
    
    Write the minimum of each dimension into double[].
    
    Specified by:
    
    realMin in interface RealInterval
  - realMin
```
public void realMin(RealPositionable min)
```
    Description copied from interface: RealInterval
    
    Sets a RealPositionable to the minimum of this Interval
    
    Specified by:
    
    realMin in interface RealInterval
  - realMax
```
public double realMax()
```
  - realMax
```
public double realMax(int d)
```
    Description copied from interface: RealInterval
    
    Get the maximum in dimension d.
    
    Specified by:
    
    realMax in interface Interval
    
    Specified by:
    
    realMax in interface RealInterval
    
    Parameters:
    
    d - dimension
    
    Returns:
    
    maximum in dimension d.
  - realMax
```
public void realMax(double[] max)
```
    Description copied from interface: RealInterval
    
    Write the maximum of each dimension into double[].
    
    Specified by:
    
    realMax in interface RealInterval
  - realMax
```
public void realMax(RealPositionable max)
```
    Description copied from interface: RealInterval
    
    Sets a RealPositionable to the maximum of this Interval
    
    Specified by:
    
    realMax in interface RealInterval
  - cursor
```
public Cursor<LongType> cursor()
```
    Description copied from interface: IterableRealInterval
    
    Returns a RealCursor that iterates with optimal speed without calculating the location at each iteration step. Localization is performed on demand.
    
    Use this where localization is required rarely/ not for each iteration.
    
    Specified by:
    
    cursor in interface IterableInterval<T>
    
    Specified by:
    
    cursor in interface IterableRealInterval<T>
    
    Specified by:
    
    cursor in interface RandomAccessibleInterval<T>
    
    Returns:
    
    fast iterating iterator
  - localizingCursor
```
public Cursor<LongType> localizingCursor()
```
    Description copied from interface: IterableRealInterval
    
    Returns a RealLocalizable Iterator that calculates its location at each iteration step. That is, localization is performed with optimal speed.
    
    Use this where localization is required often/ for each iteration.
    
    Specified by:
    
    localizingCursor in interface IterableInterval<T>
    
    Specified by:
    
    localizingCursor in interface IterableRealInterval<T>
    
    Specified by:
    
    localizingCursor in interface RandomAccessibleInterval<T>
    
    Returns:
    
    fast localizing iterator
  - size
```
public long size()
```
    Description copied from interface: IterableRealInterval
    
    Returns the number of elements in this Function.
    
    Specified by:
    
    size in interface IterableRealInterval<T>
    
    Specified by:
    
    size in interface RandomAccessibleInterval<T>
    
    Returns:
    
    number of elements
  - firstElement
```
public LongType firstElement()
```
    Description copied from interface: IterableRealInterval
    
    Get the first element of this IterableRealInterval. This is a shortcut for cursor().next().
    This can be used to create a new variable of type T using firstElement().createVariable(), which is useful in generic methods to store temporary results, e.g., a running sum over pixels in the IterableRealInterval.
    
    Specified by:
    
    firstElement in interface IterableRealInterval<T>
    
    Returns:
    
    the first element in iteration order.
  - iterationOrder
```
public java.lang.Object iterationOrder()
```
    Description copied from interface: IterableRealInterval
    
    Returns the iteration order of this IterableRealInterval. If the returned object equals (Object.equals(Object)) the iteration order of another IterableRealInterval f then they can be copied by synchronous iteration. That is, having an Iterator on this and another Iterator on f, moving both in synchrony will point both of them to corresponding locations in their source domain. In other words, this and f have the same iteration order and means and the same number of elements.
    
    Specified by:
    
    iterationOrder in interface IterableRealInterval<T>
    
    Specified by:
    
    iterationOrder in interface RandomAccessibleInterval<T>
    
    Returns:
    
    the iteration order of this IterableRealInterval.
    
    See Also:
    
    FlatIterationOrder
  - iterator
```
public java.util.Iterator<LongType> iterator()
```
    Specified by:
    
    iterator in interface java.lang.Iterable<T>
    
    Specified by:
    
    iterator in interface IterableRealInterval<T>
  - factory
```
public ImgFactory<LongType> factory()
```
    Description copied from interface: Img
    
    Get a ImgFactory that creates Imgs of the same kind as this one. This is useful to create Imgs for temporary storage in generic methods where the specific Img type is unknown. Note, that the factory can be used even if all references to this Img have been invalidated.
    
    Specified by:
    
    factory in interface Img<T>
    
    Returns:
    
    a factory for Imgs of the same kind as this one.
  - copy
```
public Histogram1d<T> copy()
```
    Specified by:
    
    copy in interface Img<T>
    
    Returns:
    
    - A copy of the current Img instance, all pixels are duplicated
  - getType
```
public LongType getType()
```
    Description copied from interface: Typed
    
    Get an instance of T.
    It should not be assumed that the returned T instance is an independent copy. In particular, repeated calls to getType() may return the same instance.
    
    Specified by:
    
    getType in interface IterableRealInterval<T>
    
    Specified by:
    
    getType in interface Typed<T>
    
    Returns:
    
    an instance of T
  - reset
```
private void reset()
```
  - init
```
private void init(java.lang.Iterable<T> data)
```
  - add
```
private void add(java.lang.Iterable<T> data)
```
  - subtract
```
private void subtract(java.lang.Iterable<T> data)
```

Class Histogram1d<T>

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface net.imglib2.Dimensions

Methods inherited from interface net.imglib2.Interval

Methods inherited from interface java.lang.Iterable

Methods inherited from interface net.imglib2.IterableInterval

Methods inherited from interface net.imglib2.IterableRealInterval

Methods inherited from interface net.imglib2.RandomAccessible

Methods inherited from interface net.imglib2.RealInterval

Field Detail

firstValue

mapper

distrib

pos

ignoredCount

Constructor Detail

Histogram1d

Histogram1d

Histogram1d

Method Detail

firstDataValue

hasTails

lowerTailCount

upperTailCount

valueCount

distributionCount

ignoredCount

totalCount

frequency

frequency

relativeFrequency

relativeFrequency

getBinCount

map

getCenterValue

getLowerBound

getUpperBound

includesUpperBound

includesLowerBound

isInLowerTail

isInUpperTail

isInMiddle

isOutside

dfd

countData

addData

subtractData

increment

decrement

increment

decrement

resetCounters

toLongArray

numDimensions

dimension

dimensions

randomAccess

randomAccess

min

min

min

min

max

max

max

max

realMin

realMin

realMin

realMin

realMax

realMax

realMax

realMax

cursor

localizingCursor

size