#include <Normalization.hpp>
Collaboration diagram for JointHistogram:
Public Member Functions | |
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name conversion from bin number to real value float | SrcBinF (float v) const |
| index of src bin for src value=v | |
| float | RefBinF (float v) const |
| int | SrcBin (float v) const |
| int | RefBin (float v) const |
| double | SrcVal (int x) const |
| double | SrcVal (double x) const |
| double | RefVal (int y) const |
| double | RefVal (double y) const |
| int | SSrcBin (float v) const |
| int | SRefBin (float v) const |
| float | SrcLimit (float v) const |
| float | RefLimit (float v) const |
| void | AddDisplayGrid () |
| Adds a display grid to joint histogram image. Only for visualisation purposes. | |
| float | GetSrcBinTotalProba (int x) const |
| Computes total probability of a source bin (adds all corresponding ref bins). | |
| Signal1Df | MedianTransferFct () const |
| Compute median normalization intensity transfer fct (DEPRECATED!!!). | |
| Signal1Df | MaximumProbabilityTransferFct () const |
| Compute maximum probability intensity transfer fct. | |
| Signal1Df | BestFitTransferFct (double smoothingCoef=1, bool allowDecreasing=false) const |
| Compute intensity transfer fct using gsl minimisation, this is intended to replace the other methods. | |
| Signal1Df | ConfidenceWeights () const |
| Computes confidence weights for each source intensity. | |
| JointHistogram (const string &filename) | |
| JointHistogram (const Image3Df &src, const Image3Df &ref, int _nbSrcBins=100, int _nbRefBins=400) | |
Static Public Member Functions | |
| static Signal1Df | SmoothAndExtend (const Signal1Df &src, const Signal1Df &weights, double smoothSigma, double outlierSigma) |
| smooths a signal using confidence weights | |
Public Attributes | |
| int | nbSrcBins |
| int | nbRefBins |
| Image3Df | histogramImage |
| double | srcMin |
| min value for src image | |
| double | srcMax |
| max value for src image | |
| double | refMin |
| min value for ref image | |
| double | refMax |
| max value for ref image | |
Protected Member Functions | |
| void | ComputeFromIndependentSamples (const Image3Df &src, const Image3Df &ref) |
| Simple computation of joint histo. | |
| void | ComputeFromDirectionalLinearInterpolation (const Image3Df &src, const Image3Df &ref, int dir) |
| Computation of joint histo using *linear* interpolation (smoother, much better quality results). | |
| virtual void | FindRanges (const Image3Df &src, const Image3Df &ref) |
| Determine ranges (srcMin,srcMax) and (refMin,refMax). | |
| JointHistogram (int _nbSrcBins=100, int _nbRefBins=400) | |
| Ctor for derived classes. | |
Definition at line 57 of file Normalization.hpp.
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Compute intensity transfer fct using gsl minimisation, this is intended to replace the other methods. it should be better... Definition at line 712 of file Normalization.cpp. References Signal1Df::Size(). |
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smooths a signal using confidence weights This is a complex algorithm: it predicts values from tangents at each point, smooths the predicted values, and the repeats the operation with outlier rejection, and less smoothing Definition at line 36 of file Normalization.cpp. References Signal1Df::Size(), and Signal1Df::Smooth(). |
1.4.2