/*****************************************************************************
** File IDENTIFICATION
**
-** Name: filter.cpp
-** Purpose: Routines for signal-procesing filters
-** Progammer: Kevin Rosenberg
-** Date Started: Aug 1984
+** Name: procsignal.cpp
+** Purpose: Routines for processing signals and projections
+** Progammer: Kevin Rosenberg
+** Date Started: Aug 1984
**
** This is part of the CTSim program
** Copyright (c) 1983-2001 Kevin Rosenberg
**
-** $Id: procsignal.cpp,v 1.25 2001/02/11 04:56:37 kevin Exp $
+** $Id: procsignal.cpp,v 1.32 2001/03/30 19:17:32 kevin Exp $
**
** This program is free software; you can redistribute it and/or modify
** it under the terms of the GNU General Public License (version 2) as
#include "ct.h"
#ifdef HAVE_WXWINDOWS
-#include "dlgezplot.h"
+#include "nographics.h"
#endif
// FilterMethod ID/Names
const int ProcessSignal::FILTER_METHOD_FFTW = 4;
const int ProcessSignal::FILTER_METHOD_RFFTW =5 ;
#endif
-const char* ProcessSignal::s_aszFilterMethodName[] = {
+const char* const ProcessSignal::s_aszFilterMethodName[] = {
{"convolution"},
{"fourier"},
{"fouier-table"},
{"rfftw"},
#endif
};
-const char* ProcessSignal::s_aszFilterMethodTitle[] = {
+const char* const ProcessSignal::s_aszFilterMethodTitle[] = {
{"Convolution"},
{"Fourier"},
{"Fouier Trigometric Table"},
const int ProcessSignal::FILTER_GENERATION_INVALID = -1;
const int ProcessSignal::FILTER_GENERATION_DIRECT = 0;
const int ProcessSignal::FILTER_GENERATION_INVERSE_FOURIER = 1;
-const char* ProcessSignal::s_aszFilterGenerationName[] = {
+const char* const ProcessSignal::s_aszFilterGenerationName[] = {
{"direct"},
{"inverse-fourier"},
};
-const char* ProcessSignal::s_aszFilterGenerationTitle[] = {
+const char* const ProcessSignal::s_aszFilterGenerationTitle[] = {
{"Direct"},
{"Inverse Fourier"},
};
ProcessSignal::ProcessSignal (const char* szFilterName, const char* szFilterMethodName, double dBandwidth,
double dSignalIncrement, int nSignalPoints, double dFilterParam, const char* szDomainName,
const char* szFilterGenerationName, int iZeropad, int iPreinterpolationFactor, int iTraceLevel,
- int iGeometry, double dFocalLength, SGP* pSGP)
+ int iGeometry, double dFocalLength, double dSourceDetectorLength, SGP* pSGP)
: m_adFourierCosTable(NULL), m_adFourierSinTable(NULL), m_adFilter(NULL), m_fail(false)
{
m_idFilterMethod = convertFilterMethodNameToID (szFilterMethodName);
}
init (m_idFilter, m_idFilterMethod, dBandwidth, dSignalIncrement, nSignalPoints, dFilterParam, m_idDomain,
- m_idFilterGeneration, iZeropad, iPreinterpolationFactor, iTraceLevel, iGeometry, dFocalLength, pSGP);
+ m_idFilterGeneration, iZeropad, iPreinterpolationFactor, iTraceLevel, iGeometry, dFocalLength,
+ dSourceDetectorLength, pSGP);
}
ProcessSignal::init (const int idFilter, const int idFilterMethod, double dBandwidth, double dSignalIncrement,
int nSignalPoints, double dFilterParam, const int idDomain, const int idFilterGeneration,
const int iZeropad, const int iPreinterpolationFactor, int iTraceLevel, int iGeometry,
- double dFocalLength, SGP* pSGP)
+ double dFocalLength, double dSourceDetectorLength, SGP* pSGP)
{
int i;
m_idFilter = idFilter;
m_idFilterGeneration = idFilterGeneration;
m_idGeometry = iGeometry;
m_dFocalLength = dFocalLength;
+ m_dSourceDetectorLength = dSourceDetectorLength;
if (m_idFilter == SignalFilter::FILTER_INVALID || m_idDomain == SignalFilter::DOMAIN_INVALID || m_idFilterMethod == FILTER_METHOD_INVALID || m_idFilterGeneration == FILTER_GENERATION_INVALID) {
m_fail = true;
m_iZeropad = iZeropad;
m_iPreinterpolationFactor = iPreinterpolationFactor;
- // scale signalInc/BW to signalInc/2 to adjust for imaginary detector
- // through origin of phantom rather than 2 times distance to detector,
+ // scale signalInc/BW to adjust for imaginary detector through origin of phantom
// see Kak-Slaney Fig 3.22, for Collinear diagram
if (m_idGeometry == Scanner::GEOMETRY_EQUILINEAR) {
- m_dSignalInc /= 2;
- m_dBandwidth *= 2;
+ double dEquilinearScale = m_dSourceDetectorLength / m_dFocalLength;
+ m_dSignalInc /= dEquilinearScale;
+ m_dBandwidth *= dEquilinearScale;
}
if (m_idFilterMethod == FILTER_METHOD_FFT) {
if (m_idFilterGeneration == FILTER_GENERATION_DIRECT) {
// calculate number of filter points with zeropadding
- m_nFilterPoints = m_nSignalPoints;
- if (m_iZeropad > 0) {
- double logBase2 = log(m_nFilterPoints) / log(2);
- int nextPowerOf2 = static_cast<int>(floor(logBase2));
- if (logBase2 != floor(logBase2))
- nextPowerOf2++;
- nextPowerOf2 += (m_iZeropad - 1);
- m_nFilterPoints = 1 << nextPowerOf2;
-#if defined(DEBUG) || defined(_DEBUG)
- if (m_traceLevel >= Trace::TRACE_CONSOLE)
- sys_error (ERR_TRACE, "nFilterPoints = %d", m_nFilterPoints);
-#endif
- }
+ m_nFilterPoints = addZeropadFactor (m_nSignalPoints, m_iZeropad);
m_nOutputPoints = m_nFilterPoints * m_iPreinterpolationFactor;
- if (m_nFilterPoints % 2) { // Odd
+ if (isOdd (m_nFilterPoints)) { // Odd
m_dFilterMin = -1. / (2 * m_dSignalInc);
m_dFilterMax = 1. / (2 * m_dSignalInc);
m_dFilterInc = (m_dFilterMax - m_dFilterMin) / (m_nFilterPoints - 1);
dlgEZPlot.ShowModal();
}
#endif
-
+
// This works fairly well. I'm not sure why since scaling for geometries is done on
// frequency filter rather than spatial filter as it should be.
// It gives values slightly off than freq/inverse filtering
dlgEZPlot.ShowModal();
}
#endif
-
+
// FILTERING: FREQUENCY - INVERSE FOURIER
-
+
} else if (m_idFilterGeneration == FILTER_GENERATION_INVERSE_FOURIER) {
// calculate number of filter points with zeropadding
int nSpatialPoints = 2 * (m_nSignalPoints - 1) + 1;
}
if (m_idFilterMethod == FILTER_METHOD_RFFTW) {
- m_realPlanForward = rfftw_create_plan (m_nFilterPoints, FFTW_REAL_TO_COMPLEX, FFTW_ESTIMATE);
- m_realPlanBackward = rfftw_create_plan (m_nOutputPoints, FFTW_COMPLEX_TO_REAL, FFTW_ESTIMATE);
+ m_realPlanForward = rfftw_create_plan (m_nFilterPoints, FFTW_REAL_TO_COMPLEX, FFTW_ESTIMATE | FFTW_USE_WISDOM);
+ m_realPlanBackward = rfftw_create_plan (m_nOutputPoints, FFTW_COMPLEX_TO_REAL, FFTW_ESTIMATE | FFTW_USE_WISDOM);
m_adRealFftInput = new fftw_real [ m_nFilterPoints ];
m_adRealFftSignal = new fftw_real [ m_nOutputPoints ];
for (i = 0; i < m_nFilterPoints; i++)
m_adRealFftInput[i] = 0;
} else if (m_idFilterMethod == FILTER_METHOD_FFTW) {
- m_complexPlanForward = fftw_create_plan (m_nFilterPoints, FFTW_FORWARD, FFTW_ESTIMATE);
- m_complexPlanBackward = fftw_create_plan (m_nOutputPoints, FFTW_BACKWARD, FFTW_ESTIMATE);
+ m_complexPlanForward = fftw_create_plan (m_nFilterPoints, FFTW_FORWARD, FFTW_ESTIMATE | FFTW_USE_WISDOM);
+ m_complexPlanBackward = fftw_create_plan (m_nOutputPoints, FFTW_BACKWARD, FFTW_ESTIMATE | FFTW_USE_WISDOM);
m_adComplexFftInput = new fftw_complex [ m_nFilterPoints ];
m_adComplexFftSignal = new fftw_complex [ m_nOutputPoints ];
for (i = 0; i < m_nFilterPoints; i++)
}
}
+
+int
+ProcessSignal::addZeropadFactor (int n, int iZeropad)
+{
+ if (iZeropad > 0) {
+ double dLogBase2 = log(n) / log(2);
+ int iLogBase2 = static_cast<int>(floor (dLogBase2));
+ int iPaddedN = 1 << (iLogBase2 + iZeropad);
+#ifdef DEBUG
+ sys_error (ERR_TRACE, "Zeropadding %d to %d", n, iPaddedN);
+#endif
+ return iPaddedN;
+ }
+
+ return n;
+}
projects / ctsim.git / blobdiff