pcl::ImageStatistics::Data Class Reference

Statistical data in the normalized [0,1] range. More...

#include <ImageStatistics.h>

Public Member Functions
	Data ()=default
	Data (const Data &)=default
void	Assign (const Data &x)
void	AssignStatisticalData (const Data &x)
Data &	operator= (const Data &)=default

Public Attributes
double	avgDev = 0
	Average deviation from the median.
double	bwmv = 0
	Biweight midvariance.
size_type	count = 0
	Total number of evaluated samples.
double	high = 0
	If rejectHigh, ignore samples greater than or equal to this value.
double	low = 0
	If rejectLow, ignore samples less than or equal to this value.
double	MAD = 0
	Median absolute deviation from the median.
double	maximum = 0
	Maximum sample value.
Point	maxPos = Point( 0 )
	Position of the maximum sample value.
double	mean = 0
	Arithmetic mean.
double	median = 0
	Median sample value.
double	minimum = 0
	Minimum sample value.
Point	minPos = Point( 0 )
	Position of the minimum sample value.
bool	noAvgDev = false
	Do not compute average deviation.
bool	noBWMV = false
	Do not compute biweight midvariance.
bool	noExtremes = false
	Do not compute minimum and maximum sample values.
bool	noMAD = false
	Do not compute MAD.
bool	noMean = false
	Do not compute the mean, variance, and standard deviation.
bool	noMedian = false
	Do not compute median, average deviation, MAD, biweight and bend midvariances.
bool	noPBMV = false
	Do not compute percentage bend midvariance.
bool	noQn = true
	Do not compute Qn estimator of scale.
bool	noSn = true
	Do not compute Sn estimator of scale.
bool	noSumOfSquares = false
	Do not compute the sum of squared samples.
bool	noVariance = false
	Do not compute variance and standard deviation.
double	pbmv = 0
	Percentage bend midvariance.
double	Qn = 0
	Qn scale estimator of Rousseeuw and Croux.
bool	rejectHigh = false
	Ignore samples with values greater than or equal to high.
bool	rejectLow = false
	Ignore samples with values less than or equal to low.
double	Sn = 0
	Sn scale estimator of Rousseeuw and Croux.
double	stdDev = 0
	Standard deviation (=Sqrt(variance)).
double	sumOfSquares = 0
	Sum of squared samples.
double	variance = 0
	Variance from the mean.

Detailed Description

Definition at line 124 of file ImageStatistics.h.

Constructor & Destructor Documentation

Data() [1/2]

pcl::ImageStatistics::Data::Data ( )

default

Constructs a default ImageStatistics::Data structure.

Data() [2/2]

pcl::ImageStatistics::Data::Data ( const Data &  )

default

Copy constructor.

Member Function Documentation

Assign()

void pcl::ImageStatistics::Data::Assign ( const Data &  x )

inline

Copies all data items from another instance x.

Definition at line 176 of file ImageStatistics.h.

AssignStatisticalData()

void pcl::ImageStatistics::Data::AssignStatisticalData ( const Data &  x )

inline

Copies only statistical data items from another instance x. Does not copy operating parameters (such as low, high, noVariance, etc.).

Definition at line 185 of file ImageStatistics.h.

References avgDev, bwmv, count, MAD, pcl::MAD(), maximum, maxPos, mean, median, minimum, minPos, pbmv, Qn, pcl::Qn(), Sn, pcl::Sn(), stdDev, sumOfSquares, and variance.

operator=()

Data& pcl::ImageStatistics::Data::operator= ( const Data &  )

default

Copy assignment operator. Returns a reference to this object.

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The documentation for this class was generated from the following file:

• ImageStatistics.h