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vtkImageHistogramStatistics.cxx
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vtkImageHistogramStatistics.cxx
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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageHistogramStatistics.cxx
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
#include "vtkImageHistogramStatistics.h"
#include "vtkObjectFactory.h"
#include "vtkIdTypeArray.h"
#include <math.h>
vtkStandardNewMacro(vtkImageHistogramStatistics);
//----------------------------------------------------------------------------
// Constructor sets default values
vtkImageHistogramStatistics::vtkImageHistogramStatistics()
{
this->AutomaticBinning = true;
this->GenerateHistogramImage = false;
this->Minimum = 0;
this->Maximum = 0;
this->Median = 0;
this->Mean = 0;
this->StandardDeviation = 0;
this->AutoRange[0] = 0;
this->AutoRange[1] = 1;
this->AutoRangePercentiles[0] = 1;
this->AutoRangePercentiles[1] = 99;
this->AutoRangeExpansionFactors[0] = 0.1;
this->AutoRangeExpansionFactors[1] = 0.1;
}
//----------------------------------------------------------------------------
vtkImageHistogramStatistics::~vtkImageHistogramStatistics()
{
}
//----------------------------------------------------------------------------
void vtkImageHistogramStatistics::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os,indent);
os << indent << "Minimum: " << this->Minimum << "\n";
os << indent << "Maximum: " << this->Maximum << "\n";
os << indent << "Median: " << this->Median << "\n";
os << indent << "Mean: " << this->Mean << "\n";
os << indent << "StandardDeviation: " << this->StandardDeviation << "\n";
os << indent << "AutoRange: " << this->AutoRange[0] << " "
<< this->AutoRange[1] << "\n";
os << indent << "AutoRangePercentiles: "
<< this->AutoRangePercentiles[0] << " "
<< this->AutoRangePercentiles[1] << "\n";
os << indent << "AutoRangeExpansionFactors: "
<< this->AutoRangeExpansionFactors[0] << " "
<< this->AutoRangeExpansionFactors[1] << "\n";
}
//----------------------------------------------------------------------------
int vtkImageHistogramStatistics::RequestData(
vtkInformation* request,
vtkInformationVector** inputVector,
vtkInformationVector* outputVector)
{
this->Superclass::RequestData(request, inputVector, outputVector);
double lowPercentile = this->AutoRangePercentiles[0]*0.01;
double highPercentile = this->AutoRangePercentiles[1]*0.01;
vtkIdType total = this->Total;
vtkIdType sum = 0;
vtkIdType lowSum = static_cast<vtkIdType>(total*lowPercentile);
vtkIdType highSum = static_cast<vtkIdType>(total*highPercentile);
vtkIdType midSum = total/2;
int lowVal = 0;
int highVal = 0;
int midVal = 0;
int minVal = -1;
int maxVal = 0;
double mom1 = 0;
double mom2 = 0;
int nx = this->Histogram->GetNumberOfTuples();
vtkIdType *histogram = this->Histogram->GetPointer(0);
for (int ix = 0; ix < nx; ++ix)
{
vtkIdType c = histogram[ix];
sum += c;
double dc = static_cast<double>(c);
mom1 += dc*ix;
mom2 += dc*ix*ix;
lowVal = (sum > lowSum ? lowVal : ix);
highVal = (sum > highSum ? highVal : ix);
midVal = (sum > midSum ? midVal : ix);
minVal = (sum > 0 ? minVal : ix);
maxVal = (c == 0 ? maxVal : ix);
}
if (minVal < maxVal)
{
minVal++;
}
double binSpacing = this->BinSpacing;
double binOrigin = this->BinOrigin;
// do the basic statistics
this->Minimum = minVal*binSpacing + binOrigin;
this->Maximum = maxVal*binSpacing + binOrigin;
this->Median = midVal*binSpacing + binOrigin;
this->Mean = 0.0;
this->StandardDeviation = 0.0;
if (total > 0)
{
this->Mean = mom1/total*binSpacing + binOrigin;
}
if (total > 1)
{
double term2 = mom1*mom1/total;
if ((mom2 - term2) > 1e-10*mom2)
{
// use the fast method to compute standard deviation
this->StandardDeviation = sqrt((mom2 - term2)/(total - 1))*binSpacing;
}
else
{
// use more accurate method to avoid cancellation error
double xmean = mom1/total;
for (int ix = 0; ix < nx; ++ix)
{
double ixd = xmean - ix;
mom2 += ixd*ixd*histogram[ix];
}
this->StandardDeviation = sqrt(mom2/(total - 1))*binSpacing;
}
}
// do the autorange: first expand range by 10% at each end
double lowEF = this->AutoRangeExpansionFactors[0];
double highEF = this->AutoRangeExpansionFactors[1];
int lowExpansion = static_cast<int>(lowEF*(highVal - lowVal));
int highExpansion = static_cast<int>(highEF*(highVal - lowVal));
lowVal -= lowExpansion;
highVal += highExpansion;
this->AutoRange[0] = lowVal*binSpacing + binOrigin;
this->AutoRange[1] = highVal*binSpacing + binOrigin;
// clamp the auto range to the full data range
if (this->AutoRange[0] < this->Minimum)
{
this->AutoRange[0] = this->Minimum;
}
if (this->AutoRange[1] > this->Maximum)
{
this->AutoRange[1] = this->Maximum;
}
return 1;
}