Container of a cube histogram. More...

#include <Histogram.h>

Inheritance diagram for Isis::Histogram:

Collaboration diagram for Isis::Histogram:

Public Member Functions
	Histogram (double minimum, double maximum, int bins=1024)
	Constructs a histogram object.
	Histogram (Cube &cube, int statsBand, Progress *progress=NULL, double startSample=1.0, double startLine=1.0, double endSample=Null, double endLine=Null, int bins=0, bool addCubeData=false)
	Constructs a histogram object using a cube.
	Histogram (ControlNet &net, double(ControlMeasure::*statFunc)() const, int bins)
	Constructs a histogram from a control netowrk.
	Histogram (ControlNet &net, double(ControlMeasure::*statFunc)() const, double binWidth)
	Constructs a histogram from a control netowrk.
	~Histogram ()
	Destructs a histogram object.
void	SetBins (const int bins)
	Change the number of bins in the histogram and reset counters.
void	Reset ()
	Resets histogram counters to zero.
void	AddData (const double *data, const unsigned int count)
	Add an array of doubles to the histogram counters.
void	AddData (const double data)
	Add a single double data to the histogram.
void	RemoveData (const double *data, const unsigned int count)
	Remove an array of doubles from the histogram counters.
double	Median () const
	Returns the median.
double	Mode () const
	Returns the mode.
double	Percent (const double percent) const
	Computes and returns the value at X percent of the histogram.
double	Skew () const
	Computes and returns the skew.
BigInt	BinCount (const int index) const
	Returns the count at a bin position in the histogram.
void	BinRange (const int index, double &low, double &high) const
	Returns the left edge and right edge values of a bin.
double	BinMiddle (const int index) const
	Returns the value represented by a bin.
double	BinSize () const
	Returns the size of an individual bin.
int	Bins () const
	Returns the number of bins in the histogram.
BigInt	MaxBinCount () const
	Returns the highest bin count.
double	BinRangeStart () const
double	BinRangeEnd () const
void	SetValidRange (const double minimum=Isis::ValidMinimum, const double maximum=Isis::ValidMaximum)
	Changes the range of the bins.
void	RemoveData (const double data)
double	ValidMinimum () const
double	ValidMaximum () const
bool	InRange (const double value)
bool	AboveRange (const double value)
bool	BelowRange (const double value)
double	Average () const
	Computes and returns the average.
double	StandardDeviation () const
	Computes and returns the standard deviation.
double	Variance () const
	Computes and returns the variance.
double	Sum () const
	Returns the sum of all the data.
double	SumSquare () const
	Returns the sum of all the squared data.
double	Rms () const
	Computes and returns the rms.
double	Minimum () const
	Returns the absolute minimum double found in all data passed through the AddData method.
double	Maximum () const
	Returns the absolute maximum double found in all data passed through the AddData method.
double	ChebyshevMinimum (const double percent=99.5) const
	This method returns a minimum such that X percent of the data will fall with K standard deviations of the average (Chebyshev's Theorem).
double	ChebyshevMaximum (const double percent=99.5) const
	This method returns a maximum such that X percent of the data will fall with K standard deviations of the average (Chebyshev's Theorem).
double	BestMinimum (const double percent=99.5) const
	This method returns the better of the absolute minimum or the Chebyshev minimum.
double	BestMaximum (const double percent=99.5) const
	This method returns the better of the absolute maximum or the Chebyshev maximum.
double	ZScore (const double value) const
	This method returns the better of the z-score of the given value.
BigInt	TotalPixels () const
	Returns the total number of pixels processed (valid and invalid).
BigInt	ValidPixels () const
	Returns the total number of valid pixels processed.
BigInt	OverRangePixels () const
	Returns the total number of pixels over the valid range encountered.
BigInt	UnderRangePixels () const
	Returns the total number of pixels under the valid range encountered.
BigInt	NullPixels () const
	Returns the total number of NULL pixels encountered.
BigInt	LisPixels () const
	Returns the total number of low instrument saturation (LIS) pixels encountered.
BigInt	LrsPixels () const
	Returns the total number of low representation saturation (LRS) pixels encountered.
BigInt	HisPixels () const
	Returns the total number of high instrument saturation (HIS) pixels encountered.
BigInt	HrsPixels () const
	Returns the total number of high representation saturation (HRS) pixels encountered.
BigInt	OutOfRangePixels () const
	Returns the total number of pixels outside of the valid range encountered.
bool	RemovedData () const
void	save (QXmlStreamWriter &stream, const Project *project) const
QDataStream &	write (QDataStream &stream) const
	Order saved must match the offsets in the static compoundH5DataType() method.
QDataStream &	read (QDataStream &stream)

Static Public Member Functions
static H5::CompType	compoundH5DataType ()

Private Member Functions
void	InitializeFromCube (Cube &cube, int statsBand, Progress *progress, int nbins=0, double startSample=Null, double startLine=Null, double endSample=Null, double endLine=Null)
void	addMeasureDataFromNet (ControlNet &net, double(ControlMeasure::*statFunc)() const)
	Iterates through all the measures in a network adding them to the histogram.
void	rangesFromNet (ControlNet &net, double(ControlMeasure::*statFunc)() const)
	Iterates through all the measures in a network in order to find the domain of the data.

Private Attributes
std::vector< BigInt >	p_bins
	The array of counts.
double	p_binRangeStart
double	p_binRangeEnd

Detailed Description

Container of a cube histogram.

This class is used to accumulate a histogram on double arrays. In particular, it is highly useful for obtaining a histogram on cube data. Parameters which can be computed are the 1) median, 2) mode, and 3) skew. The histogram consists of a fixed set of distinct bins. When an object is created the programmer must provide a minimum and maximum which defines how data is further placed in the bins. The minimum is mapped to the left edge of the first bin [0] and the maximum is mapped to the right edge of the last bin [Bins()-1]. There are a set of methods which return bin information such as 1) count, 2) size, 3) middle value, 4) range, and 5) maximum bin count.

Author: 2002-05-13 Jeff Anderson

Todo:: This class needs an example.

History:: 2002-05-22 Jeff Anderson moved Reset, AddData, and RemoveData methods into public space.

History:: 2002-10-05 Tracie Sucharski added MaxBinCount, a method to return the maximum bin count.

History:: 2005-06-21 Modified index computations in AddData and RemoveData to round

History:: 2008-08-15 Added BinRange methods and functionality. Now, you can collect statistics over all of the data and also set where the binning will start and end. Increased the default number of bins for floating point cubes.

History:: 2012-01-19 Steven Lambright and Jai Rideout - Added constructor parameters to read from the Cube automatically.

History:: 2012-04-10 Orrin Thomas - Added constructor parameters to read from ControlNets automatically (For control measure data.)

History:: 2015-09-03 Tyler Wilson - Overrode Statistics::SetValidRange to set the bin range as well as the statistical range for the data. The function Histogram::SetBinRange has been removed from this class.

Definition at line 77 of file Histogram.h.

Constructor & Destructor Documentation

Isis::Histogram::Histogram	(	double	minimum,
		double	maximum,
		int	nbins = `1024`
	)

Constructs a histogram object.

Only data between the minimum and maximum will be binned, and the bin range will be from the minimum to the maximum.

Parameters

minimum	Minimum value for binning the data into the histogram.
maximum	Maximum value for binning the data into the histogram.
nbins	The number of bins to use

Definition at line 49 of file Histogram.cpp.

Isis::Histogram::Histogram	(	Cube &	cube,
		int	statsBand,
		Progress *	progress = `NULL`,
		double	startSample = `1.0`,
		double	startLine = `1.0`,
		double	endSample = `Null`,
		double	endLine = `Null`,
		int	bins = `0`,
		bool	addCubeData = `false`
	)

Constructs a histogram object using a cube.

This constructor computes the minimum, maximum for the binning range and number of bins automatically. All statistics will still be collected, though data at either end of the histogram will be put into one bin in order to attempt to achieve better histogram statistics.

TODO: progress needs to be a bool.

Parameters

cube	The cube to used to determine min/max and bins
statsBand	The band number the histogram will be collected from
progress	The Progress object to be used to output the percent processed information
startSample	The sample to start reading cube data from
startLine	The line to start reading cube data from
endSample	The sample to stop reading cube data at (Null for nsamps)
endLine	The line to stop reading cube data at (Null for nlines)
bins	The number of histogram bins to create (0 for automatic)
addCubeData	True to fill the histogram with data in addition to initializing the binning ranges.

Definition at line 78 of file Histogram.cpp.

References Isis::Cube::bandCount(), Isis::Progress::CheckStatus(), Isis::Cube::pixelType(), Isis::Cube::read(), Isis::Progress::SetMaximumSteps(), and Isis::Progress::SetText().

Isis::Histogram::Histogram	(	ControlNet &	net,
		double(ControlMeasure::*)() const	statFunc,
		int	bins
	)

Constructs a histogram from a control netowrk.

Parameters

net,:	Reference to a ControlNetwork used to access all the measures.
statFunc,:	Pointer to a ControlMeasure acessor, the returns of this function call will be used to build up the network.
bins,:	The number of bins to divide the histogram into.

Exceptions

The	number of Histogram Bins must be greater than 0.

Definition at line 129 of file Histogram.cpp.

References _FILEINFO_.

Isis::Histogram::Histogram	(	ControlNet &	net,
		double(ControlMeasure::*)() const	statFunc,
		double	binWidth
	)

Constructs a histogram from a control netowrk.

Parameters

Net,:	Reference to a ControlNetwork used to access all the measures.
statFunc,:	Pointer to a ControlMeasure acessor, the returns of this. function call will be used to build up the network.
binWidth,:	The width of histogram bins.

Exceptions

The	width of Histogram Bins must be greater than 0.

Definition at line 155 of file Histogram.cpp.

References _FILEINFO_, Isis::ValidMaximum, and Isis::ValidMinimum.

Isis::Histogram::~Histogram ( )

Destructs a histogram object.

Definition at line 384 of file Histogram.cpp.

Member Function Documentation

void Isis::Histogram::AddData	(	const double *	data,
		const unsigned int	count
	)

Add an array of doubles to the histogram counters.

This method can be invoked multiple times. For example, once for each line in a cube, before obtaining statistics and histogram information.

Parameters

data	Pointer to array of double to add.
count	Number of doubles to process.

Reimplemented from Isis::Statistics.

Definition at line 441 of file Histogram.cpp.

References Isis::IsValidPixel().

Referenced by Isis::StretchTool::histFromBuffer(), Isis::StretchTool::histFromCube(), Isis::Cube::histogram(), Isis::HistogramTool::refreshPlot(), and Isis::VisualDisplay::setPixelData().

void Isis::Histogram::AddData ( const double data )

Add a single double data to the histogram.

Of course this can be invoke multiple times. e.g. once for each residual in a network for instance.

Parameters

data	a single observation to be added to the histogram

Reimplemented from Isis::Statistics.

Definition at line 471 of file Histogram.cpp.

References Isis::IsValidPixel().

void Isis::Histogram::addMeasureDataFromNet	(	ControlNet &	net,
		double(ControlMeasure::*)() const	statFunc
	)

private

Iterates through all the measures in a network adding them to the histogram.

Parameters

net	reference to a ControlNetwork used to access all the measures
statFunc	pointer to a ControlMeasure acessor, the returns of this function call will be used to build up the network

Definition at line 201 of file Histogram.cpp.

References Isis::ControlPoint::GetMeasure(), and Isis::ControlNet::GetNumPoints().

double Isis::Statistics::Average ( ) const

inherited

Computes and returns the average.

If there are no valid pixels, then NULL8 is returned.

Returns: The Average

Definition at line 304 of file Statistics.cpp.

References Isis::Statistics::m_sum, and Isis::Statistics::m_validPixels.

Referenced by Isis::OverlapNormalization::AddOverlap(), Isis::ControlNet::AverageResidual(), Isis::Statistics::ChebyshevMaximum(), Isis::Statistics::ChebyshevMinimum(), Isis::MultivariateStatistics::Covariance(), Isis::ControlNetStatistics::GetPointDoubleStats(), Isis::SpatialPlotTool::getSpatialStatistics(), Isis::SpectralPlotTool::getSpectralStatistics(), Isis::StatisticsTool::getStatistics(), Isis::VisualDisplay::paintPixmap(), Isis::AutoReg::Reduce(), Isis::HistogramTool::refreshPlot(), Isis::OverlapNormalization::Solve(), Isis::Gruen::StatsLog(), Isis::CameraStatistics::toPvl(), and Isis::Statistics::ZScore().

double Isis::Statistics::BestMaximum ( const double percent = 99.5 ) const

inherited

This method returns the better of the absolute maximum or the Chebyshev maximum.

The better value is considered the value closest to the mean.

Parameters

percent The probability that the maximum is within K standard deviations of the mean (Used to compute the Chebyshev maximum). Default value = 99.5.

Returns: Best of absolute and Chebyshev maximums

See Also: Statistics::Maximum Statistics::ChebyshevMaximum

Definition at line 625 of file Statistics.cpp.

References Isis::Statistics::ChebyshevMaximum(), Isis::Statistics::m_validPixels, and Isis::Statistics::Maximum().

Referenced by Isis::ChipViewport::computeStretch(), Isis::MosaicSceneItem::getStretch(), Isis::StretchTool::histFromBuffer(), Isis::VisualDisplay::setPixelData(), Isis::LinearStretchType::setStretch(), Isis::StretchTool::stretchBand(), and Isis::StretchTool::stretchBuffer().

double Isis::Statistics::BestMinimum ( const double percent = 99.5 ) const

inherited

This method returns the better of the absolute minimum or the Chebyshev minimum.

The better value is considered the value closest to the mean.

Parameters

percent The probability that the minimum is within K standard deviations of the mean (Used to compute the Chebyshev minimum). Default value = 99.5.

Returns: Best of absolute and Chebyshev minimums

See Also: Statistics::Minimum Statistics::ChebyshevMinimum

Definition at line 602 of file Statistics.cpp.

References Isis::Statistics::ChebyshevMinimum(), Isis::Statistics::m_validPixels, and Isis::Statistics::Minimum().

Referenced by Isis::ChipViewport::computeStretch(), Isis::MosaicSceneItem::getStretch(), Isis::StretchTool::histFromBuffer(), Isis::VisualDisplay::setPixelData(), Isis::LinearStretchType::setStretch(), Isis::StretchTool::stretchBand(), and Isis::StretchTool::stretchBuffer().

BigInt Isis::Histogram::BinCount ( const int index ) const

Returns the count at a bin position in the histogram.

Parameters

index Index of the desired bin 0 to Bins()-1.

Returns: The count at a bin position in the histogram.

Definition at line 612 of file Histogram.cpp.

References _FILEINFO_, and Isis::Message::ArraySubscriptNotInRange().

Referenced by Isis::QHistogram::Load(), Isis::HistogramTool::refreshPlot(), and Isis::HistogramWidget::setHistogram().

double Isis::Histogram::BinMiddle ( const int index ) const

Returns the value represented by a bin.

This is not the count, but the actual data value at the middle of the bin.

Parameters

index Index of the desired bin 0 to Bins()-1.

Returns: The middle value of the bin.

Definition at line 658 of file Histogram.cpp.

References _FILEINFO_, and Isis::Message::ArraySubscriptNotInRange().

Referenced by Isis::QHistogram::Load(), Isis::HistogramTool::refreshPlot(), and Isis::HistogramWidget::setHistogram().

void Isis::Histogram::BinRange	(	const int	index,
		double &	low,
		double &	high
	)		const

Returns the left edge and right edge values of a bin.

That is the range of data the bin covers.

Exceptions

iException The programmer has passed in an index outside of 0 to Bins()-1.

Parameters

index	Index of the desired bin 0 to Bins()-1.
low	The value at the left edge of the requested bin.
high	The value at the right edge of the requested bin.

Definition at line 636 of file Histogram.cpp.

References _FILEINFO_, and Isis::Message::ArraySubscriptNotInRange().

int Isis::Histogram::Bins ( ) const

Returns the number of bins in the histogram.

Returns: The number of bins in the histogram.

Definition at line 692 of file Histogram.cpp.

Referenced by Isis::GaussianStretch::GaussianStretch(), Isis::QHistogram::Load(), Isis::HistogramTool::refreshPlot(), and Isis::HistogramWidget::setHistogram().

double Isis::Histogram::BinSize ( ) const

Returns the size of an individual bin.

Essentially, the difference of the high and low edge values (BinRange) of a bin. This value is constant for all bins.

Returns: The size of the individual bin.

Definition at line 679 of file Histogram.cpp.

Referenced by Isis::BinaryStretchType::calculateNewStretch(), Isis::SawtoothStretchType::calculateNewStretch(), Isis::HistogramTool::refreshPlot(), Isis::HistogramWidget::setHistogram(), Isis::BinaryStretchType::setStretch(), Isis::LinearStretchType::setStretch(), Isis::SawtoothStretchType::setStretch(), Isis::SawtoothStretchType::widthEditChanged(), and Isis::SawtoothStretchType::widthSliderMoved().

double Isis::Statistics::ChebyshevMaximum ( const double percent = 99.5 ) const

inherited

This method returns a maximum such that X percent of the data will fall with K standard deviations of the average (Chebyshev's Theorem).

It can be used to obtain a minimum that does not include statistical outliers.

Parameters

percent The probability that the maximum is within K standard deviations of the mean. Default value = 99.5.

Returns: maximum value excluding statistical outliers

Exceptions

Isis::IException::Message

Definition at line 576 of file Statistics.cpp.

References _FILEINFO_, Isis::Statistics::Average(), Isis::Statistics::m_validPixels, Isis::IException::Programmer, and Isis::Statistics::StandardDeviation().

Referenced by Isis::Statistics::BestMaximum().

double Isis::Statistics::ChebyshevMinimum ( const double percent = 99.5 ) const

inherited

This method returns a minimum such that X percent of the data will fall with K standard deviations of the average (Chebyshev's Theorem).

It can be used to obtain a minimum that does not include statistical outliers.

Parameters

percent The probability that the minimum is within K standard deviations of the mean. Default value = 99.5.

Returns: Minimum value (excluding statistical outliers)

Exceptions

Isis::IException::Message

Definition at line 549 of file Statistics.cpp.

References _FILEINFO_, Isis::Statistics::Average(), Isis::Statistics::m_validPixels, Isis::IException::Programmer, and Isis::Statistics::StandardDeviation().

Referenced by Isis::Statistics::BestMinimum().

BigInt Isis::Statistics::HisPixels ( ) const

inherited

Returns the total number of high instrument saturation (HIS) pixels encountered.

Returns: The number of HIS pixels (data) processed

Definition at line 502 of file Statistics.cpp.

References Isis::Statistics::m_hisPixels.

BigInt Isis::Statistics::HrsPixels ( ) const

inherited

Returns the total number of high representation saturation (HRS) pixels encountered.

Returns: The number of HRS pixels (data) processed

Definition at line 513 of file Statistics.cpp.

References Isis::Statistics::m_hrsPixels.

BigInt Isis::Statistics::LisPixels ( ) const

inherited

Returns the total number of low instrument saturation (LIS) pixels encountered.

Returns: The number of LIS pixels (data) processed

Definition at line 480 of file Statistics.cpp.

References Isis::Statistics::m_lisPixels.

BigInt Isis::Statistics::LrsPixels ( ) const

inherited

Returns the total number of low representation saturation (LRS) pixels encountered.

Returns: The number of LRS pixels (data) processed

Definition at line 491 of file Statistics.cpp.

References Isis::Statistics::m_lrsPixels.

BigInt Isis::Histogram::MaxBinCount ( ) const

Returns the highest bin count.

Returns: The highest bin count.

Definition at line 702 of file Histogram.cpp.

Referenced by Isis::HistogramWidget::setHistogram().

double Isis::Statistics::Maximum ( ) const

inherited

Returns the absolute maximum double found in all data passed through the AddData method.

If there are no valid pixels, then NULL8 is returned.

Returns: Current maximum value in data set

Exceptions

Isis::IException::Message The data set is blank, so the maximum is invalid.

Definition at line 407 of file Statistics.cpp.

References _FILEINFO_, Isis::Statistics::m_maximum, Isis::Statistics::m_removedData, Isis::Statistics::m_validPixels, and Isis::IException::Programmer.

Referenced by Isis::Statistics::BestMaximum(), Isis::BinaryStretchType::calculateNewStretch(), Isis::SawtoothStretchType::calculateNewStretch(), Isis::AutoReg::ComputeChipZScore(), Isis::BinaryStretchType::endEditChanged(), Isis::LinearStretchType::endEditChanged(), Isis::BinaryStretchType::endSliderMoved(), Isis::LinearStretchType::endSliderMoved(), Isis::QnetPointJigsawErrorFilter::filter(), Isis::QnetPointRegistrationErrorFilter::filter(), Isis::GaussianStretch::GaussianStretch(), Isis::ControlNet::GetMaximumResidual(), Isis::ControlNetStatistics::GetPointDoubleStats(), Isis::StatisticsTool::getStatistics(), Isis::SawtoothStretchType::offsetEditChanged(), Isis::SawtoothStretchType::offsetSliderMoved(), Isis::VisualDisplay::paintPixmap(), Isis::HistogramTool::refreshPlot(), Isis::SawtoothStretchType::SawtoothStretchType(), Isis::ScatterPlotData::ScatterPlotData(), Isis::HistogramWidget::setHistogram(), Isis::BinaryStretchType::setStretch(), Isis::BinaryStretchType::startEditChanged(), Isis::LinearStretchType::startEditChanged(), Isis::BinaryStretchType::startSliderMoved(), Isis::LinearStretchType::startSliderMoved(), Isis::Gruen::StatsLog(), Isis::StretchTool::stretchBuffer(), Isis::CameraStatistics::toPvl(), Isis::SawtoothStretchType::widthEditChanged(), Isis::SawtoothStretchType::widthSliderMoved(), and Isis::Statistics::ZScore().

double Isis::Histogram::Median ( ) const

Returns the median.

Returns: The median

Definition at line 528 of file Histogram.cpp.

Referenced by Isis::HistogramTool::refreshPlot(), Isis::SawtoothStretchType::SawtoothStretchType(), and Isis::ProcessExport::SetInputRange().

double Isis::Statistics::Minimum ( ) const

inherited

Returns the absolute minimum double found in all data passed through the AddData method.

If there are no valid pixels, then NULL8 is returned.

Returns: Current minimum value in data set.

Exceptions

Isis::IException::Message The data set is blank, so the minimum is invalid.

Definition at line 386 of file Statistics.cpp.

References _FILEINFO_, Isis::Statistics::m_minimum, Isis::Statistics::m_removedData, Isis::Statistics::m_validPixels, and Isis::IException::Programmer.

Referenced by Isis::Statistics::BestMinimum(), Isis::BinaryStretchType::calculateNewStretch(), Isis::SawtoothStretchType::calculateNewStretch(), Isis::AutoReg::ComputeChipZScore(), Isis::BinaryStretchType::endEditChanged(), Isis::LinearStretchType::endEditChanged(), Isis::BinaryStretchType::endSliderMoved(), Isis::LinearStretchType::endSliderMoved(), Isis::GaussianStretch::GaussianStretch(), Isis::ControlNetStatistics::GetPointDoubleStats(), Isis::StatisticsTool::getStatistics(), Isis::SawtoothStretchType::offsetEditChanged(), Isis::SawtoothStretchType::offsetSliderMoved(), Isis::VisualDisplay::paintPixmap(), Isis::HistogramTool::refreshPlot(), Isis::SawtoothStretchType::SawtoothStretchType(), Isis::ScatterPlotData::ScatterPlotData(), Isis::HistogramWidget::setHistogram(), Isis::BinaryStretchType::setStretch(), Isis::BinaryStretchType::startEditChanged(), Isis::LinearStretchType::startEditChanged(), Isis::BinaryStretchType::startSliderMoved(), Isis::LinearStretchType::startSliderMoved(), Isis::Gruen::StatsLog(), Isis::StretchTool::stretchBuffer(), Isis::CameraStatistics::toPvl(), Isis::SawtoothStretchType::widthEditChanged(), and Isis::SawtoothStretchType::widthSliderMoved().

double Isis::Histogram::Mode ( ) const

Returns the mode.

Returns: The mode

Definition at line 537 of file Histogram.cpp.

Referenced by Isis::HistogramTool::refreshPlot().

BigInt Isis::Statistics::NullPixels ( ) const

inherited

Returns the total number of NULL pixels encountered.

Returns: The number of NULL pixels (data) processed

Definition at line 469 of file Statistics.cpp.

References Isis::Statistics::m_nullPixels.

BigInt Isis::Statistics::OutOfRangePixels ( ) const

inherited

Returns the total number of pixels outside of the valid range encountered.

Returns: The number of Out of Range pixels (data) processed

Definition at line 524 of file Statistics.cpp.

References Isis::Statistics::m_overRangePixels, and Isis::Statistics::m_underRangePixels.

BigInt Isis::Statistics::OverRangePixels ( ) const

inherited

Returns the total number of pixels over the valid range encountered.

Returns: The number of pixels less than the ValidMaximum() processed

Definition at line 448 of file Statistics.cpp.

References Isis::Statistics::m_overRangePixels.

double Isis::Histogram::Percent ( const double percent ) const

Computes and returns the value at X percent of the histogram.

For example, Percent(50.0) is equivalent to the computing the median. While Percent(0.5) and Percent(99.5) would obtain a minimum and maximum for the data that could be used for a good contrast stretch.

Parameters

percent X percent of the histogram to compute.

Returns: The value at X percent of the histogram.

Definition at line 560 of file Histogram.cpp.

References _FILEINFO_.

Referenced by Isis::BinaryStretchType::BinaryStretchType(), Isis::GaussianStretch::GaussianStretch(), Isis::Stretch::Parse(), Isis::ProcessExport::SetInputRange(), and Isis::StretchTool::stretchBuffer().

void Isis::Histogram::rangesFromNet	(	ControlNet &	net,
		double(ControlMeasure::*)() const	statFunc
	)

private

Iterates through all the measures in a network in order to find the domain of the data.

Parameters

net	reference to a ControlNetwork used to access all the measures
statFunc	pointer to a ControlMeasure acessor, the returns of this function call will be used to build up the network

Exceptions

The	net file appears to have 1 or fewer measures, thus no histogram can be formed

Definition at line 232 of file Histogram.cpp.

References _FILEINFO_, Isis::ControlPoint::GetMeasure(), and Isis::ControlNet::GetNumPoints().

void Isis::Histogram::RemoveData	(	const double *	data,
		const unsigned int	count
	)

Remove an array of doubles from the histogram counters.

Note that this invalidates the absolute minimum and maximum. They will no longer be useable.

See Also: Stats

Parameters

data	Pointer to array of doubles to remove.
count	number of doubles to process.

Reimplemented from Isis::Statistics.

Definition at line 500 of file Histogram.cpp.

References Isis::IsValidPixel().

void Isis::Histogram::Reset ( )

Resets histogram counters to zero.

Reimplemented from Isis::Statistics.

Definition at line 419 of file Histogram.cpp.

double Isis::Statistics::Rms ( ) const

inherited

Computes and returns the rms.

If there are no valid pixels, then NULL8 is returned.

Returns: The rms (root mean square)

History:: 2011-06-13 Ken Edmundson.

Definition at line 369 of file Statistics.cpp.

References Isis::Statistics::m_sumsum, and Isis::Statistics::m_validPixels.

Referenced by Isis::BundleAdjust::ComputeBundleStatistics(), Isis::ControlPoint::GetLineResidualRms(), Isis::ControlPoint::GetResidualRms(), and Isis::ControlPoint::GetSampleResidualRms().

void Isis::Histogram::SetBins ( const int bins )

Change the number of bins in the histogram and reset counters.

Definition at line 428 of file Histogram.cpp.

void Isis::Histogram::SetValidRange	(	const double	minimum = `Isis::ValidMinimum`,
		const double	maximum = `Isis::ValidMaximum`
	)

Changes the range of the bins.

This function also sets the range of the parent statistics class and resets the stats/histogram counters. So binRange = setValidRange. Should only be called once, prior to Adding data to the histogram.

Parameters

binStart	The start of the bin range
binEnd	The end of the bin range

Reimplemented from Isis::Statistics.

Definition at line 401 of file Histogram.cpp.

References _FILEINFO_.

Referenced by Isis::Cube::histogram().

double Isis::Histogram::Skew ( ) const

Computes and returns the skew.

If there are no valid pixels then NULL8 is returned. Recognize that because of the binning which occurs, in order to generate the histogram, the skew may not be precise but will be very close.