Statistics Class Reference

Helper class to perform basic statistics. More...

#include <Statistics.h>

Static Public Member Functions
template<typename T >
static float	variance (int start, int offset, const T *in, int len)
template<typename T >
static void	histogramIt (const T *data_in, int len, int num_bins, T _min, T *&data_out)
template<typename T >
static void	saveHistogramToFile (const T *out_data, int len)
template<typename T >
static void	cdfIt (const T *in_data, int len, int num_bins, float _min, T *&cdf_out)
template<typename T , typename F >
static void	minMaxData (const T *data_out, int width, int height, F &minVal, F &maxVal, int trim=0)
	Determine the max and min values for a matrix (image) and trim the top - this is needed to ignore the over-saturated bar at the top of the image.
template<typename T , typename F >
static void	minMaxData (std::vector< T > *data_out, int w, int h, F &minVal, F &maxVal, int trim=0)
	Same as above but with data in an array. More...
template<typename T >
static void	minMaxData (const T *data_in, int len, T &maxVal, T &minVal)
	this is just a standard max-min. More...
static void	minMaxDataTrim (const unsigned short *data_out, int w, int h, int trim, double &minVal, double &maxVal)
static void	minMaxDataAvg (const unsigned short *data_out, int w, int h, int trim, double &minVal, double &maxVal)
template<typename T , typename F >
static void	avgMatrixToLine (const T *in, int startRow, int stopRow, int w, F *&out)
static void	movingFilterLine (float *&in, int len, int filter)
static void	movingFilterLine (const float *in, int len, int filter, float *&out)
static void	gradientLine (float *&in, int len)
static void	gradientLine (const float *in, int len, float *&out)
static void	filterVector (std::vector< float > *sumOfVar)
template<typename T >
static T	localMaxVal (std::vector< T > *in, int &myMaxIndex)
template<typename T >
static T	localMaxVal (const T *in, int len, int &myMaxIndex)
	This is looking for a local max. More...
template<typename T >
static T	maxVal (std::vector< T > *in, int &myMaxIndex)
static bool	isOscilating (float *&in, int len, int posGradLimit)

Static Protected Member Functions
static void	doInitArrayFire ()
static void	doSetTrimMaskArray (int trimVal, int w, int h)

Static Protected Attributes
static bool	isVerbose
static bool	initArrayFire = false

Detailed Description

Helper class to perform basic statistics.

Member Function Documentation

localMaxVal()

template<typename T >

static T Statistics::localMaxVal ( const T *  in, int  len, int &  myMaxIndex  )

inlinestatic

This is looking for a local max.

I believe this is used in finding the max variance for dispersion optimization. When the system is not in focus, the algorithm will fail.

minMaxData() [1/2]

template<typename T >

static void Statistics::minMaxData ( const T *  data_in, int  len, T &  maxVal, T &  minVal  )

inlinestatic

this is just a standard max-min.

No trim.

minMaxData() [2/2]

template<typename T , typename F >

static void Statistics::minMaxData ( std::vector< T > *  data_out, int  w, int  h, F &  minVal, F &  maxVal, int  trim = 0  )

inlinestatic

Same as above but with data in an array.

just get data from vector and re-use above method.

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

• utensil-converter/UtensilBase/Statistics.h
• utensil-converter/UtensilBase/Statistics.cpp