455 lines
10 KiB
C++
455 lines
10 KiB
C++
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/* -*- mode: C++ ; c-file-style: "stroustrup" -*- *****************************
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* Qwt Widget Library
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* Copyright (C) 1997 Josef Wilgen
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* Copyright (C) 2002 Uwe Rathmann
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the Qwt License, Version 1.0
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*****************************************************************************/
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#include "qwt_curve_fitter.h"
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#include "qwt_math.h"
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#include "qwt_spline.h"
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#include <qstack.h>
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#include <qvector.h>
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#if QT_VERSION < 0x040601
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#define qFabs(x) ::fabs(x)
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#endif
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//! Constructor
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QwtCurveFitter::QwtCurveFitter()
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{
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}
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//! Destructor
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QwtCurveFitter::~QwtCurveFitter()
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{
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}
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class QwtSplineCurveFitter::PrivateData
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{
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public:
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PrivateData():
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fitMode( QwtSplineCurveFitter::Auto ),
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splineSize( 250 )
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{
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}
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QwtSpline spline;
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QwtSplineCurveFitter::FitMode fitMode;
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int splineSize;
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};
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//! Constructor
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QwtSplineCurveFitter::QwtSplineCurveFitter()
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{
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d_data = new PrivateData;
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}
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//! Destructor
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QwtSplineCurveFitter::~QwtSplineCurveFitter()
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{
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delete d_data;
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}
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/*!
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Select the algorithm used for building the spline
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\param mode Mode representing a spline algorithm
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\sa fitMode()
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*/
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void QwtSplineCurveFitter::setFitMode( FitMode mode )
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{
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d_data->fitMode = mode;
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}
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/*!
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\return Mode representing a spline algorithm
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\sa setFitMode()
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*/
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QwtSplineCurveFitter::FitMode QwtSplineCurveFitter::fitMode() const
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{
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return d_data->fitMode;
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}
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/*!
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Assign a spline
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\param spline Spline
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\sa spline()
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*/
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void QwtSplineCurveFitter::setSpline( const QwtSpline &spline )
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{
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d_data->spline = spline;
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d_data->spline.reset();
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}
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/*!
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\return Spline
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\sa setSpline()
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*/
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const QwtSpline &QwtSplineCurveFitter::spline() const
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{
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return d_data->spline;
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}
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/*!
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\return Spline
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\sa setSpline()
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*/
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QwtSpline &QwtSplineCurveFitter::spline()
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{
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return d_data->spline;
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}
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/*!
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Assign a spline size ( has to be at least 10 points )
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\param splineSize Spline size
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\sa splineSize()
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*/
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void QwtSplineCurveFitter::setSplineSize( int splineSize )
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{
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d_data->splineSize = qMax( splineSize, 10 );
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}
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/*!
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\return Spline size
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\sa setSplineSize()
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*/
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int QwtSplineCurveFitter::splineSize() const
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{
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return d_data->splineSize;
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}
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/*!
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Find a curve which has the best fit to a series of data points
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\param points Series of data points
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\return Curve points
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*/
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QPolygonF QwtSplineCurveFitter::fitCurve( const QPolygonF &points ) const
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{
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const int size = points.size();
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if ( size <= 2 )
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return points;
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FitMode fitMode = d_data->fitMode;
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if ( fitMode == Auto )
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{
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fitMode = Spline;
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const QPointF *p = points.data();
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for ( int i = 1; i < size; i++ )
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{
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if ( p[i].x() <= p[i-1].x() )
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{
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fitMode = ParametricSpline;
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break;
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}
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};
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}
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if ( fitMode == ParametricSpline )
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return fitParametric( points );
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else
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return fitSpline( points );
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}
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QPolygonF QwtSplineCurveFitter::fitSpline( const QPolygonF &points ) const
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{
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d_data->spline.setPoints( points );
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if ( !d_data->spline.isValid() )
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return points;
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QPolygonF fittedPoints( d_data->splineSize );
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const double x1 = points[0].x();
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const double x2 = points[int( points.size() - 1 )].x();
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const double dx = x2 - x1;
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const double delta = dx / ( d_data->splineSize - 1 );
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for ( int i = 0; i < d_data->splineSize; i++ )
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{
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QPointF &p = fittedPoints[i];
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const double v = x1 + i * delta;
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const double sv = d_data->spline.value( v );
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p.setX( v );
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p.setY( sv );
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}
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d_data->spline.reset();
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return fittedPoints;
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}
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QPolygonF QwtSplineCurveFitter::fitParametric( const QPolygonF &points ) const
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{
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int i;
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const int size = points.size();
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QPolygonF fittedPoints( d_data->splineSize );
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QPolygonF splinePointsX( size );
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QPolygonF splinePointsY( size );
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const QPointF *p = points.data();
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QPointF *spX = splinePointsX.data();
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QPointF *spY = splinePointsY.data();
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double param = 0.0;
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for ( i = 0; i < size; i++ )
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{
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const double x = p[i].x();
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const double y = p[i].y();
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if ( i > 0 )
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{
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const double delta = qSqrt( qwtSqr( x - spX[i-1].y() )
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+ qwtSqr( y - spY[i-1].y() ) );
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param += qMax( delta, 1.0 );
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}
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spX[i].setX( param );
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spX[i].setY( x );
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spY[i].setX( param );
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spY[i].setY( y );
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}
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d_data->spline.setPoints( splinePointsX );
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if ( !d_data->spline.isValid() )
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return points;
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const double deltaX =
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splinePointsX[size - 1].x() / ( d_data->splineSize - 1 );
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for ( i = 0; i < d_data->splineSize; i++ )
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{
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const double dtmp = i * deltaX;
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fittedPoints[i].setX( d_data->spline.value( dtmp ) );
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}
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d_data->spline.setPoints( splinePointsY );
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if ( !d_data->spline.isValid() )
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return points;
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const double deltaY =
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splinePointsY[size - 1].x() / ( d_data->splineSize - 1 );
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for ( i = 0; i < d_data->splineSize; i++ )
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{
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const double dtmp = i * deltaY;
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fittedPoints[i].setY( d_data->spline.value( dtmp ) );
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}
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return fittedPoints;
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}
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class QwtWeedingCurveFitter::PrivateData
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{
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public:
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PrivateData():
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tolerance( 1.0 ),
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chunkSize( 0 )
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{
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}
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double tolerance;
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uint chunkSize;
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};
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class QwtWeedingCurveFitter::Line
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{
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public:
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Line( int i1 = 0, int i2 = 0 ):
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from( i1 ),
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to( i2 )
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{
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}
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int from;
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int to;
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};
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/*!
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Constructor
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\param tolerance Tolerance
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\sa setTolerance(), tolerance()
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*/
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QwtWeedingCurveFitter::QwtWeedingCurveFitter( double tolerance )
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{
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d_data = new PrivateData;
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setTolerance( tolerance );
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}
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//! Destructor
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QwtWeedingCurveFitter::~QwtWeedingCurveFitter()
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{
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delete d_data;
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}
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/*!
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Assign the tolerance
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The tolerance is the maximum distance, that is acceptable
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between the original curve and the smoothed curve.
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Increasing the tolerance will reduce the number of the
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resulting points.
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\param tolerance Tolerance
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\sa tolerance()
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*/
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void QwtWeedingCurveFitter::setTolerance( double tolerance )
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{
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d_data->tolerance = qMax( tolerance, 0.0 );
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}
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/*!
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\return Tolerance
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\sa setTolerance()
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*/
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double QwtWeedingCurveFitter::tolerance() const
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{
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return d_data->tolerance;
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}
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/*!
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Limit the number of points passed to a run of the algorithm
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The runtime of the Douglas Peucker algorithm increases non linear
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with the number of points. For a chunk size > 0 the polygon
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is split into pieces passed to the algorithm one by one.
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\param numPoints Maximum for the number of points passed to the algorithm
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\sa chunkSize()
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*/
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void QwtWeedingCurveFitter::setChunkSize( uint numPoints )
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{
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if ( numPoints > 0 )
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numPoints = qMax( numPoints, 3U );
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d_data->chunkSize = numPoints;
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}
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/*!
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\return Maximum for the number of points passed to a run
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of the algorithm - or 0, when unlimited
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\sa setChunkSize()
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*/
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uint QwtWeedingCurveFitter::chunkSize() const
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{
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return d_data->chunkSize;
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}
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/*!
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\param points Series of data points
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\return Curve points
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*/
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QPolygonF QwtWeedingCurveFitter::fitCurve( const QPolygonF &points ) const
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{
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if ( points.isEmpty() )
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return points;
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QPolygonF fittedPoints;
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if ( d_data->chunkSize == 0 )
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{
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fittedPoints = simplify( points );
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}
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else
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{
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for ( int i = 0; i < points.size(); i += d_data->chunkSize )
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{
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const QPolygonF p = points.mid( i, d_data->chunkSize );
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fittedPoints += simplify( p );
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}
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}
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return fittedPoints;
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}
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QPolygonF QwtWeedingCurveFitter::simplify( const QPolygonF &points ) const
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{
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const double toleranceSqr = d_data->tolerance * d_data->tolerance;
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QStack<Line> stack;
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stack.reserve( 500 );
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const QPointF *p = points.data();
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const int nPoints = points.size();
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QVector<bool> usePoint( nPoints, false );
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stack.push( Line( 0, nPoints - 1 ) );
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while ( !stack.isEmpty() )
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{
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const Line r = stack.pop();
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// initialize line segment
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const double vecX = p[r.to].x() - p[r.from].x();
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const double vecY = p[r.to].y() - p[r.from].y();
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const double vecLength = qSqrt( vecX * vecX + vecY * vecY );
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const double unitVecX = ( vecLength != 0.0 ) ? vecX / vecLength : 0.0;
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const double unitVecY = ( vecLength != 0.0 ) ? vecY / vecLength : 0.0;
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double maxDistSqr = 0.0;
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int nVertexIndexMaxDistance = r.from + 1;
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for ( int i = r.from + 1; i < r.to; i++ )
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{
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//compare to anchor
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const double fromVecX = p[i].x() - p[r.from].x();
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const double fromVecY = p[i].y() - p[r.from].y();
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double distToSegmentSqr;
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if ( fromVecX * unitVecX + fromVecY * unitVecY < 0.0 )
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{
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distToSegmentSqr = fromVecX * fromVecX + fromVecY * fromVecY;
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}
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else
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|
|
{
|
||
|
|
const double toVecX = p[i].x() - p[r.to].x();
|
||
|
|
const double toVecY = p[i].y() - p[r.to].y();
|
||
|
|
const double toVecLength = toVecX * toVecX + toVecY * toVecY;
|
||
|
|
|
||
|
|
const double s = toVecX * ( -unitVecX ) + toVecY * ( -unitVecY );
|
||
|
|
if ( s < 0.0 )
|
||
|
|
{
|
||
|
|
distToSegmentSqr = toVecLength;
|
||
|
|
}
|
||
|
|
else
|
||
|
|
{
|
||
|
|
distToSegmentSqr = qFabs( toVecLength - s * s );
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
if ( maxDistSqr < distToSegmentSqr )
|
||
|
|
{
|
||
|
|
maxDistSqr = distToSegmentSqr;
|
||
|
|
nVertexIndexMaxDistance = i;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if ( maxDistSqr <= toleranceSqr )
|
||
|
|
{
|
||
|
|
usePoint[r.from] = true;
|
||
|
|
usePoint[r.to] = true;
|
||
|
|
}
|
||
|
|
else
|
||
|
|
{
|
||
|
|
stack.push( Line( r.from, nVertexIndexMaxDistance ) );
|
||
|
|
stack.push( Line( nVertexIndexMaxDistance, r.to ) );
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
QPolygonF stripped;
|
||
|
|
for ( int i = 0; i < nPoints; i++ )
|
||
|
|
{
|
||
|
|
if ( usePoint[i] )
|
||
|
|
stripped += p[i];
|
||
|
|
}
|
||
|
|
|
||
|
|
return stripped;
|
||
|
|
}
|