mirror of https://gitee.com/openkylin/vtk9.git
697 lines
22 KiB
C++
697 lines
22 KiB
C++
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/*=========================================================================
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Program: Visualization Toolkit
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Module: vtkUnstructuredGridLinearRayIntegrator.cxx
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Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
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All rights reserved.
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See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
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This software is distributed WITHOUT ANY WARRANTY; without even
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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PURPOSE. See the above copyright notice for more information.
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=========================================================================*/
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/*
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* Copyright 2004 Sandia Corporation.
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* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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* license for use of this work by or on behalf of the
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* U.S. Government. Redistribution and use in source and binary forms, with
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* or without modification, are permitted provided that this Notice and any
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* statement of authorship are reproduced on all copies.
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*/
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#include "vtkUnstructuredGridLinearRayIntegrator.h"
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#include "vtkColorTransferFunction.h"
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#include "vtkDoubleArray.h"
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#include "vtkMath.h"
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#include "vtkObjectFactory.h"
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#include "vtkPiecewiseFunction.h"
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#include "vtkVolume.h"
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#include "vtkVolumeProperty.h"
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#include <algorithm>
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#include <set>
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#include <vector>
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#include <cmath>
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#ifndef M_SQRTPI
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#define M_SQRTPI 1.77245385090551602792981
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#endif
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#ifndef M_2_SQRTPI
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#define M_2_SQRTPI 1.12837916709551257390
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#endif
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#ifndef M_1_SQRTPI
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#define M_1_SQRTPI (0.5 * M_2_SQRTPI)
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#endif
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//------------------------------------------------------------------------------
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// VTK's native classes for defining transfer functions is actually slow to
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// access, so we have to cache it somehow. This class is straightforward
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// copy of the transfer function.
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class vtkLinearRayIntegratorTransferFunction
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{
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public:
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vtkLinearRayIntegratorTransferFunction();
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~vtkLinearRayIntegratorTransferFunction();
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void GetTransferFunction(vtkColorTransferFunction* color, vtkPiecewiseFunction* opacity,
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double unit_distance, double scalar_range[2]);
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void GetTransferFunction(vtkPiecewiseFunction* intensity, vtkPiecewiseFunction* opacity,
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double unit_distance, double scalar_range[2]);
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inline void GetColor(double x, double c[4]);
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struct acolor
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{
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double c[4];
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};
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double* ControlPoints;
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int NumControlPoints;
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acolor* Colors;
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private:
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vtkLinearRayIntegratorTransferFunction(const vtkLinearRayIntegratorTransferFunction&) = delete;
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void operator=(const vtkLinearRayIntegratorTransferFunction&) = delete;
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};
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vtkLinearRayIntegratorTransferFunction::vtkLinearRayIntegratorTransferFunction()
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{
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this->ControlPoints = nullptr;
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this->Colors = nullptr;
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this->NumControlPoints = 0;
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}
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vtkLinearRayIntegratorTransferFunction::~vtkLinearRayIntegratorTransferFunction()
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{
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delete[] this->ControlPoints;
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delete[] this->Colors;
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}
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static const double huebends[6] = { 1.0 / 6.0, 1.0 / 3.0, 0.5, 2.0 / 3.0, 5.0 / 6.0, 1.0 };
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void vtkLinearRayIntegratorTransferFunction::GetTransferFunction(vtkColorTransferFunction* color,
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vtkPiecewiseFunction* opacity, double unit_distance, double scalar_range[2])
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{
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std::set<double> cpset;
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double* function_range = color->GetRange();
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double* function = color->GetDataPointer();
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while (true)
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{
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cpset.insert(function[0]);
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if (function[0] == function_range[1])
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break;
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function += 4;
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}
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if (color->GetColorSpace() != VTK_CTF_RGB)
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{
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// If we are in an HSV color space, we must insert control points
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// in places where the RGB bends.
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double rgb[3], hsv[3];
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double hue1, hue2;
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double x1, x2;
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std::set<double>::iterator i = cpset.begin();
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x1 = *i;
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color->GetColor(x1, rgb);
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vtkMath::RGBToHSV(rgb, hsv);
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hue1 = hsv[0];
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for (++i; i != cpset.end(); ++i)
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{
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x2 = *i;
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color->GetColor(x2, rgb);
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vtkMath::RGBToHSV(rgb, hsv);
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hue2 = hsv[0];
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// Are we crossing the 0/1 boundary?
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if ((color->GetColorSpace() == VTK_CTF_HSV && color->GetHSVWrap()) &&
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((hue1 - hue2 > 0.5) || (hue2 - hue1 > 0.5)))
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{
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// Yes, we are crossing the boundary.
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if (hue1 > hue2)
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{
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int j;
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for (j = 0; huebends[j] <= hue2; j++)
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{
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double interp = (1 - hue1 + huebends[j]) / (1 - hue1 + hue2);
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cpset.insert((x2 - x1) * interp + x1);
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}
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while (huebends[j] < hue1)
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j++;
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for (; j < 6; j++)
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{
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double interp = (huebends[j] - hue1) / (1 - hue1 + hue2);
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cpset.insert((x2 - x1) * interp + x1);
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}
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}
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else
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{
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int j;
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for (j = 0; huebends[j] <= hue1; j++)
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{
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double interp = (hue1 - huebends[j]) / (1 - hue2 + hue1);
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cpset.insert((x2 - x1) * interp + x1);
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}
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while (huebends[j] < hue2)
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j++;
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for (; j < 6; j++)
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{
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double interp = (1 - huebends[j] + hue1) / (1 - hue2 + hue1);
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cpset.insert((x2 - x1) * interp + x1);
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}
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}
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}
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else
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{
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// No, we are not crossing the boundary.
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int j = 0;
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double minh, maxh;
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if (hue1 < hue2)
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{
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minh = hue1;
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maxh = hue2;
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}
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else
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{
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minh = hue2;
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maxh = hue1;
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}
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while (huebends[j] < minh)
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j++;
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for (j = 0; huebends[j] < maxh; j++)
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{
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double interp = (huebends[j] - hue1) / (hue2 - hue1);
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cpset.insert((x2 - x1) * interp + x1);
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}
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}
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x1 = x2;
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hue1 = hue2;
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}
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}
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function_range = opacity->GetRange();
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function = opacity->GetDataPointer();
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while (true)
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{
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cpset.insert(function[0]);
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if (function[0] == function_range[0])
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break;
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function += 2;
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}
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// Add the scalar at the beginning and end of the range so the interpolation
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// is correct there.
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cpset.insert(scalar_range[0]);
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cpset.insert(scalar_range[1]);
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// Make extra sure there are at least two entries in cpset.
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if (cpset.size() < 2)
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{
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cpset.insert(0.0);
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cpset.insert(1.0);
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}
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// Now record control points and colors.
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delete[] this->ControlPoints;
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delete[] this->Colors;
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this->NumControlPoints = static_cast<int>(cpset.size());
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this->ControlPoints = new double[this->NumControlPoints];
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this->Colors = new acolor[this->NumControlPoints];
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std::copy(cpset.begin(), cpset.end(), this->ControlPoints);
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for (int i = 0; i < this->NumControlPoints; i++)
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{
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color->GetColor(this->ControlPoints[i], this->Colors[i].c);
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this->Colors[i].c[3] = (opacity->GetValue(this->ControlPoints[i]) / unit_distance);
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}
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}
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void vtkLinearRayIntegratorTransferFunction::GetTransferFunction(vtkPiecewiseFunction* intensity,
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vtkPiecewiseFunction* opacity, double unit_distance, double scalar_range[2])
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{
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std::set<double> cpset;
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double* function_range = intensity->GetRange();
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double* function = intensity->GetDataPointer();
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while (true)
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{
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cpset.insert(function[0]);
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if (function[0] == function_range[1])
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break;
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function += 2;
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}
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function_range = opacity->GetRange();
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function = opacity->GetDataPointer();
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while (true)
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{
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cpset.insert(function[0]);
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if (function[0] == function_range[0])
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break;
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function += 2;
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}
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// Add the scalar at the beginning and end of the range so the interpolation
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// is correct there.
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cpset.insert(scalar_range[0]);
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cpset.insert(scalar_range[1]);
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// Make extra sure there are at least two entries in cpset.
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if (cpset.size() < 2)
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{
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cpset.insert(0.0);
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cpset.insert(1.0);
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}
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// Now record control points and colors.
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delete[] this->ControlPoints;
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delete[] this->Colors;
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this->NumControlPoints = static_cast<int>(cpset.size());
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this->ControlPoints = new double[this->NumControlPoints];
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this->Colors = new acolor[this->NumControlPoints];
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std::copy(cpset.begin(), cpset.end(), this->ControlPoints);
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for (int i = 0; i < this->NumControlPoints; i++)
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{
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// Is setting all the colors to the same value the right thing to do?
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this->Colors[i].c[0] = this->Colors[i].c[1] = this->Colors[i].c[2] =
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intensity->GetValue(this->ControlPoints[i]);
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this->Colors[i].c[3] = (opacity->GetValue(this->ControlPoints[i]) / unit_distance);
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}
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}
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inline void vtkLinearRayIntegratorTransferFunction::GetColor(double x, double c[4])
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{
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int i = 1;
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while ((i < this->NumControlPoints - 1) && (this->ControlPoints[i] < x))
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i++;
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double before = this->ControlPoints[i - 1];
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double after = this->ControlPoints[i];
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double interp = (x - before) / (after - before);
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double* beforec = this->Colors[i - 1].c;
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double* afterc = this->Colors[i].c;
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c[0] = (1 - interp) * beforec[0] + interp * afterc[0];
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c[1] = (1 - interp) * beforec[1] + interp * afterc[1];
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c[2] = (1 - interp) * beforec[2] + interp * afterc[2];
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c[3] = (1 - interp) * beforec[3] + interp * afterc[3];
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}
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//------------------------------------------------------------------------------
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vtkStandardNewMacro(vtkUnstructuredGridLinearRayIntegrator);
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vtkUnstructuredGridLinearRayIntegrator::vtkUnstructuredGridLinearRayIntegrator()
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{
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this->Property = nullptr;
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this->TransferFunctions = nullptr;
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this->NumIndependentComponents = 0;
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}
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//------------------------------------------------------------------------------
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vtkUnstructuredGridLinearRayIntegrator::~vtkUnstructuredGridLinearRayIntegrator()
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{
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delete[] this->TransferFunctions;
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}
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//------------------------------------------------------------------------------
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void vtkUnstructuredGridLinearRayIntegrator::PrintSelf(ostream& os, vtkIndent indent)
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{
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this->Superclass::PrintSelf(os, indent);
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}
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//------------------------------------------------------------------------------
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void vtkUnstructuredGridLinearRayIntegrator::Initialize(vtkVolume* volume, vtkDataArray* scalars)
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{
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vtkVolumeProperty* property = volume->GetProperty();
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if ((property == this->Property) && (this->TransferFunctionsModified > property->GetMTime()))
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{
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// Nothing has changed from the last time Initialize was run.
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return;
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}
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int numcomponents = scalars->GetNumberOfComponents();
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this->Property = property;
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this->TransferFunctionsModified.Modified();
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if (!property->GetIndependentComponents())
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{
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// The scalars actually hold material properties.
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if ((numcomponents != 4) && (numcomponents != 2))
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{
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vtkErrorMacro("Only 2-tuples and 4-tuples allowed for dependent components.");
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}
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return;
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}
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delete[] this->TransferFunctions;
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this->NumIndependentComponents = numcomponents;
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this->TransferFunctions = new vtkLinearRayIntegratorTransferFunction[numcomponents];
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for (int component = 0; component < numcomponents; component++)
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{
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if (property->GetColorChannels(component) == 1)
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{
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this->TransferFunctions[component].GetTransferFunction(
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property->GetGrayTransferFunction(component), property->GetScalarOpacity(component),
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property->GetScalarOpacityUnitDistance(component), scalars->GetRange(component));
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}
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else
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{
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this->TransferFunctions[component].GetTransferFunction(
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property->GetRGBTransferFunction(component), property->GetScalarOpacity(component),
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property->GetScalarOpacityUnitDistance(component), scalars->GetRange(component));
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}
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}
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}
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//------------------------------------------------------------------------------
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void vtkUnstructuredGridLinearRayIntegrator::Integrate(vtkDoubleArray* intersectionLengths,
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vtkDataArray* nearIntersections, vtkDataArray* farIntersections, float color[4])
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{
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int numintersections = intersectionLengths->GetNumberOfTuples();
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if (this->Property->GetIndependentComponents())
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{
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int numscalars = nearIntersections->GetNumberOfComponents();
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double* nearScalars = new double[numscalars];
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double* farScalars = new double[numscalars];
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std::set<double> segments;
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for (vtkIdType i = 0; i < numintersections; i++)
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{
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double total_length = intersectionLengths->GetValue(i);
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nearIntersections->GetTuple(i, nearScalars);
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farIntersections->GetTuple(i, farScalars);
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// Split up segment on control points, because it is nonlinear in
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// these regions.
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segments.erase(segments.begin(), segments.end());
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segments.insert(0.0);
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segments.insert(1.0);
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for (int j = 0; j < numscalars; j++)
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{
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double* cp = this->TransferFunctions[j].ControlPoints;
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vtkIdType numcp = this->TransferFunctions[j].NumControlPoints;
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double minscalar, maxscalar;
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if (nearScalars[j] < farScalars[j])
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{
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minscalar = nearScalars[j];
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maxscalar = farScalars[j];
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}
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else
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{
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minscalar = farScalars[j];
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maxscalar = nearScalars[j];
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}
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for (int k = 0; k < numcp; k++)
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{
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if (cp[k] <= minscalar)
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continue;
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if (cp[k] >= maxscalar)
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break;
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// If we are here, we need to break the segment at the given scalar.
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// Find the fraction between the near and far segment points.
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segments.insert((cp[k] - nearScalars[j]) / (farScalars[j] - nearScalars[j]));
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}
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}
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// Iterate over all the segment pieces (from front to back) and
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// integrate each piece.
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std::set<double>::iterator segi = segments.begin();
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|
double nearInterpolant = *segi;
|
||
|
for (++segi; segi != segments.end(); ++segi)
|
||
|
{
|
||
|
double farInterpolant = *segi;
|
||
|
double nearcolor[4] = { 0.0, 0.0, 0.0, 0.0 };
|
||
|
double farcolor[4] = { 0.0, 0.0, 0.0, 0.0 };
|
||
|
double length = total_length * (farInterpolant - nearInterpolant);
|
||
|
// Here we handle the mixing of material properties. This never
|
||
|
// seems to be defined very clearly. I handle this by assuming
|
||
|
// that each scalar represents a cloud of particles of a certain
|
||
|
// color and a certain density. We mix the scalars in the same way
|
||
|
// as mixing these particles together. By necessity, the density
|
||
|
// becomes greater. The "opacity" parameter is really interpreted
|
||
|
// as the attenuation coefficient (which is proportional to
|
||
|
// density) and can therefore easily be greater than one. The
|
||
|
// opacity of the resulting color will, however, always be scaled
|
||
|
// between 0 and 1.
|
||
|
for (int j = 0; j < numscalars; j++)
|
||
|
{
|
||
|
double scalar = (farScalars[j] - nearScalars[j]) * nearInterpolant + nearScalars[j];
|
||
|
if (j == 0)
|
||
|
{
|
||
|
this->TransferFunctions[j].GetColor(scalar, nearcolor);
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
double c[4];
|
||
|
this->TransferFunctions[j].GetColor(scalar, c);
|
||
|
if (c[3] + nearcolor[3] > 1.0e-8f)
|
||
|
{
|
||
|
nearcolor[0] *= nearcolor[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[1] *= nearcolor[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[2] *= nearcolor[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[0] += c[0] * c[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[1] += c[1] * c[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[2] += c[2] * c[3] / (c[3] + nearcolor[3]);
|
||
|
nearcolor[3] += c[3];
|
||
|
}
|
||
|
}
|
||
|
|
||
|
scalar = (farScalars[j] - nearScalars[j]) * farInterpolant + nearScalars[j];
|
||
|
if (j == 0)
|
||
|
{
|
||
|
this->TransferFunctions[j].GetColor(scalar, farcolor);
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
double c[4];
|
||
|
this->TransferFunctions[j].GetColor(scalar, c);
|
||
|
if (c[3] + farcolor[3] > 1.0e-8f)
|
||
|
{
|
||
|
farcolor[0] *= farcolor[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[1] *= farcolor[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[2] *= farcolor[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[0] += c[0] * c[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[1] += c[1] * c[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[2] += c[2] * c[3] / (c[3] + farcolor[3]);
|
||
|
farcolor[3] += c[3];
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
vtkUnstructuredGridLinearRayIntegrator::IntegrateRay(
|
||
|
length, nearcolor, nearcolor[3], farcolor, farcolor[3], color);
|
||
|
|
||
|
nearInterpolant = farInterpolant;
|
||
|
}
|
||
|
}
|
||
|
delete[] nearScalars;
|
||
|
delete[] farScalars;
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
double unitdistance = this->Property->GetScalarOpacityUnitDistance();
|
||
|
if (nearIntersections->GetNumberOfComponents() == 4)
|
||
|
{
|
||
|
for (vtkIdType i = 0; i < numintersections; i++)
|
||
|
{
|
||
|
double length = intersectionLengths->GetValue(i);
|
||
|
double* nearcolor = nearIntersections->GetTuple(i);
|
||
|
double* farcolor = farIntersections->GetTuple(i);
|
||
|
vtkUnstructuredGridLinearRayIntegrator::IntegrateRay(length, nearcolor,
|
||
|
nearcolor[3] / unitdistance, farcolor, farcolor[3] / unitdistance, color);
|
||
|
}
|
||
|
}
|
||
|
else // Two components.
|
||
|
{
|
||
|
for (vtkIdType i = 0; i < numintersections; i++)
|
||
|
{
|
||
|
double length = intersectionLengths->GetValue(i);
|
||
|
double* nearcolor = nearIntersections->GetTuple(i);
|
||
|
double* farcolor = farIntersections->GetTuple(i);
|
||
|
vtkUnstructuredGridLinearRayIntegrator::IntegrateRay(length, nearcolor[0],
|
||
|
nearcolor[1] / unitdistance, farcolor[0], farcolor[1] / unitdistance, color);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
//------------------------------------------------------------------------------
|
||
|
|
||
|
void vtkUnstructuredGridLinearRayIntegrator::IntegrateRay(double length, double intensity_front,
|
||
|
double attenuation_front, double intensity_back, double attenuation_back, float color[4])
|
||
|
{
|
||
|
float Psi =
|
||
|
vtkUnstructuredGridLinearRayIntegrator::Psi(length, attenuation_front, attenuation_back);
|
||
|
float zeta = (float)exp(-0.5 * length * (attenuation_front + attenuation_back));
|
||
|
float alpha = 1 - zeta;
|
||
|
|
||
|
float newintensity =
|
||
|
(1 - color[3]) * (intensity_front * (1 - Psi) + intensity_back * (Psi - zeta));
|
||
|
// Is setting the RGB values the same the right thing to do?
|
||
|
color[0] += newintensity;
|
||
|
color[1] += newintensity;
|
||
|
color[2] += newintensity;
|
||
|
color[3] += (1 - color[3]) * alpha;
|
||
|
}
|
||
|
|
||
|
void vtkUnstructuredGridLinearRayIntegrator::IntegrateRay(double length,
|
||
|
const double color_front[3], double attenuation_front, const double color_back[3],
|
||
|
double attenuation_back, float color[4])
|
||
|
{
|
||
|
float Psi =
|
||
|
vtkUnstructuredGridLinearRayIntegrator::Psi(length, attenuation_front, attenuation_back);
|
||
|
float zeta = (float)exp(-0.5 * length * (attenuation_front + attenuation_back));
|
||
|
float alpha = 1 - zeta;
|
||
|
|
||
|
color[0] += (1 - color[3]) * (color_front[0] * (1 - Psi) + color_back[0] * (Psi - zeta));
|
||
|
color[1] += (1 - color[3]) * (color_front[1] * (1 - Psi) + color_back[1] * (Psi - zeta));
|
||
|
color[2] += (1 - color[3]) * (color_front[2] * (1 - Psi) + color_back[2] * (Psi - zeta));
|
||
|
color[3] += (1 - color[3]) * alpha;
|
||
|
}
|
||
|
|
||
|
//------------------------------------------------------------------------------
|
||
|
|
||
|
static inline float erf_fitting_function(float u)
|
||
|
{
|
||
|
return -1.26551223 +
|
||
|
u *
|
||
|
(1.00002368 +
|
||
|
u *
|
||
|
(0.37409196 +
|
||
|
u *
|
||
|
(0.09678418 +
|
||
|
u *
|
||
|
(-0.18628806 +
|
||
|
u *
|
||
|
(0.27886807 +
|
||
|
u *
|
||
|
(-1.13520398 + u * (1.48851587 + u * (-0.82215223 + u * 0.17087277))))))));
|
||
|
}
|
||
|
|
||
|
#if 0
|
||
|
// This function is not used directly. It is here for reference.
|
||
|
static inline float erf(float x)
|
||
|
{
|
||
|
/* Compute as described in Numerical Recipes in C++ by Press, et al. */
|
||
|
/* x = abs(x); In this application, x should always be >= 0. */
|
||
|
float u = 1/(1 + 0.5*x);
|
||
|
float ans = u*exp(-x*x + erf_fitting_function(u));
|
||
|
/* return (x >= 0 ? 1 - ans : ans - 1); x should always be >= 0. */
|
||
|
return 1 - ans;
|
||
|
}
|
||
|
#endif
|
||
|
|
||
|
/* Compute Dawson's integral as described in Numerical Recipes in C++ by
|
||
|
Press, et al. */
|
||
|
#define H 0.4
|
||
|
static const float dawson_constant0 = 0.852144;
|
||
|
static const float dawson_constant1 = 0.236928;
|
||
|
static const float dawson_constant2 = 0.0183156;
|
||
|
static const float dawson_constant3 = 0.000393669;
|
||
|
static const float dawson_constant4 = 2.35258e-6;
|
||
|
static const float dawson_constant5 = 3.90894e-9;
|
||
|
static inline float dawson(float x)
|
||
|
{
|
||
|
if (x > 0.2)
|
||
|
{
|
||
|
/* x = abs(x); In this application, x should always be >= 0. */
|
||
|
int n0 = 2 * (int)((0.5 / H) * x + 0.5);
|
||
|
float xp = x - (float)n0 * H;
|
||
|
float e1 = exp((2 * H) * xp);
|
||
|
float e2 = e1 * e1;
|
||
|
float d1 = n0 + 1;
|
||
|
float d2 = d1 - 2;
|
||
|
float sum = 0;
|
||
|
sum = dawson_constant0 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
d1 += 2;
|
||
|
d2 -= 2;
|
||
|
e1 *= e2;
|
||
|
sum += dawson_constant1 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
d1 += 2;
|
||
|
d2 -= 2;
|
||
|
e1 *= e2;
|
||
|
sum += dawson_constant2 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
d1 += 2;
|
||
|
d2 -= 2;
|
||
|
e1 *= e2;
|
||
|
sum += dawson_constant3 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
d1 += 2;
|
||
|
d2 -= 2;
|
||
|
e1 *= e2;
|
||
|
sum += dawson_constant4 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
d1 += 2;
|
||
|
d2 -= 2;
|
||
|
e1 *= e2;
|
||
|
sum += dawson_constant5 * (e1 / d1 + 1 / (d2 * e1));
|
||
|
return M_1_SQRTPI * exp(-xp * xp) * sum;
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
float x2 = x * x;
|
||
|
return x * (1 - (2.0 / 3.0) * x2 * (1 - .4 * x2 * (1 - (2.0 / 7.0) * x2)));
|
||
|
}
|
||
|
}
|
||
|
|
||
|
#if 0
|
||
|
// This function is not used directly. It is here for reference.
|
||
|
inline float erfi(float x)
|
||
|
{
|
||
|
return M_2_SQRTPI*exp(x*x)*dawson(x);
|
||
|
}
|
||
|
#endif
|
||
|
|
||
|
float vtkUnstructuredGridLinearRayIntegrator::Psi(
|
||
|
float length, float attenuation_front, float attenuation_back)
|
||
|
{
|
||
|
float difftauD = length * fabs(attenuation_back - attenuation_front);
|
||
|
|
||
|
if (difftauD < 1.0e-8f)
|
||
|
{
|
||
|
// Volume is homogeneous (with respect to attenuation).
|
||
|
float tauD = length * attenuation_front;
|
||
|
if (tauD < 1.0e-8f)
|
||
|
{
|
||
|
return 1;
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
return (1 - (float)exp(-tauD)) / tauD;
|
||
|
}
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
float invsqrt2difftauD = 1 / (float)sqrt(2 * difftauD);
|
||
|
float frontterm = length * invsqrt2difftauD * attenuation_front;
|
||
|
float backterm = length * invsqrt2difftauD * attenuation_back;
|
||
|
if (attenuation_back > attenuation_front)
|
||
|
{
|
||
|
float u, Y;
|
||
|
u = 1 / (1 + 0.5f * frontterm);
|
||
|
Y = u * (float)exp(erf_fitting_function(u));
|
||
|
u = 1 / (1 + 0.5f * backterm);
|
||
|
Y += -u * exp(frontterm * frontterm - backterm * backterm + erf_fitting_function(u));
|
||
|
Y *= M_SQRTPI * invsqrt2difftauD;
|
||
|
return Y;
|
||
|
}
|
||
|
else
|
||
|
{
|
||
|
float expterm = (float)exp(backterm * backterm - frontterm * frontterm);
|
||
|
return 2 * invsqrt2difftauD * (dawson(frontterm) - expterm * dawson(backterm));
|
||
|
}
|
||
|
}
|
||
|
}
|