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/** \example rgbimageplot.cpp
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* Shows how to plot colored math images with JKQTPlotter , where different images / matrices are assigned to different color channels
*
* \ ref JKQTPlotterRGBImagePlot
*/
# include <QApplication>
# include <cmath>
# include "jkqtplotter/jkqtplotter.h"
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# include "jkqtplotter/graphs/jkqtpimagergb.h"
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int main ( int argc , char * argv [ ] )
{
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# if QT_VERSION >= QT_VERSION_CHECK(5,6,0) && QT_VERSION < QT_VERSION_CHECK(6,0,0)
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QApplication : : setAttribute ( Qt : : AA_EnableHighDpiScaling ) ; // DPI support
QCoreApplication : : setAttribute ( Qt : : AA_UseHighDpiPixmaps ) ; //HiDPI pixmaps
# endif
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QApplication app ( argc , argv ) ;
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JKQTPlotter plot ;
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
plot . getPlotter ( ) - > setUseAntiAliasingForGraphs ( true ) ; // nicer (but slower) plotting
plot . getPlotter ( ) - > setUseAntiAliasingForSystem ( true ) ; // nicer (but slower) plotting
plot . getPlotter ( ) - > setUseAntiAliasingForText ( true ) ; // nicer (but slower) text rendering
JKQTPDatastore * ds = plot . getDatastore ( ) ;
// 2. now we create data for the charts (taken from https://commons.wikimedia.org/wiki/File:Energiemix_Deutschland.svg)
const int NX = 100 ; // image dimension in x-direction [pixels]
const int NY = 100 ; // image dimension in x-direction [pixels]
const double dx = 1e-2 ; // size of a pixel in x-direction [micrometers]
const double dy = 1e-2 ; // size of a pixel in x-direction [micrometers]
const double w = static_cast < double > ( NX ) * dx ;
const double h = static_cast < double > ( NY ) * dy ;
double airydisk1 [ NX * NY ] ; // row-major image
double airydisk2 [ NX * NY ] ; // row-major image
// 2.1 Parameters for airy disk plot (see https://en.wikipedia.org/wiki/Airy_disk)
double NA = 1.1 ; // numerical aperture of lens
double wavelength1 = 540e-3 ; // wavelength of the light [micrometers]
double wavelength2 = 450e-3 ; // wavelength of the light [micrometers]
// 2.2 calculate image of airy disk in a row-major array
double x , y = - h / 2.0 ;
for ( int iy = 0 ; iy < NY ; iy + + ) {
x = - w / 2.0 ;
for ( int ix = 0 ; ix < NX ; ix + + ) {
const double r = sqrt ( x * x + y * y ) ;
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const double v1 = 2.0 * JKQTPSTATISTICS_PI * NA * r / wavelength1 ;
airydisk1 [ iy * NX + ix ] = sqrt ( pow ( 2.0 * jkqtp_j1 ( v1 ) / v1 , 2 ) ) ;
const double v2 = 2.0 * JKQTPSTATISTICS_PI * NA * r / wavelength2 ;
airydisk2 [ iy * NX + ix ] = sqrt ( pow ( 2.0 * jkqtp_j1 ( v2 ) / v2 , 2 ) ) ;
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x + = dx ;
}
y + = dy ;
}
// 3. make data available to JKQTPlotter by adding it to the internal datastore.
// In this step the contents of C-array airydisk is copied into a column
// of the datastore in row-major order
size_t cAiryDisk1 = ds - > addCopiedImageAsColumn ( airydisk1 , NX , NY , " imagedata1 " ) ;
size_t cAiryDisk2 = ds - > addCopiedImageAsColumn ( airydisk2 , NX , NY , " imagedata2 " ) ;
// 4. create a graph (JKQTPColumnMathImage) with the column created above as data
// The data is color-coded with the color-palette JKQTPMathImageMATLAB
// the converted range of data is determined automatically because s etAutoImageRange(true)
JKQTPColumnRGBMathImage * graph = new JKQTPColumnRGBMathImage ( & plot ) ;
graph - > setTitle ( " " ) ;
// image column with the data (R/G/B or C/M/Y ...)
graph - > setImageGColumn ( cAiryDisk1 ) ; // G/M channel
graph - > setImageBColumn ( cAiryDisk2 ) ; // B/Y channel
// set size of the data (the datastore does not contain this info, as it only manages 1D columns of data and this is used to assume a row-major ordering
graph - > setNx ( NX ) ;
graph - > setNy ( NY ) ;
// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
graph - > setX ( - w / 2.0 ) ;
graph - > setY ( - h / 2.0 ) ;
// width and height of the image in plot-axis-coordinates
graph - > setWidth ( w ) ;
graph - > setHeight ( h ) ;
// get coordinate axis of color-bar and set its label
graph - > getColorBarRightAxisB ( ) - > setAxisLabel ( " blue light field strength [AU] " ) ;
graph - > getColorBarRightAxisG ( ) - > setAxisLabel ( " green light field strength [AU] " ) ;
// determine min/max of data automatically and use it to set the range of the color-scale
graph - > setAutoImageRange ( true ) ;
// use (subtractive) CMY color model, not RGB
//graph->setRgbMode(JKQTPRGBMathImageModeCMYMode);
// 5. add the graphs to the plot, so it is actually displayed
plot . addGraph ( graph ) ;
// 6. set axis labels
plot . getXAxis ( ) - > setAxisLabel ( " x [{ \\ mu}m] " ) ;
plot . getYAxis ( ) - > setAxisLabel ( " y [{ \\ mu}m] " ) ;
// 7. fix axis and plot aspect ratio to 1
plot . getPlotter ( ) - > setMaintainAspectRatio ( true ) ;
plot . getPlotter ( ) - > setMaintainAxisAspectRatio ( true ) ;
// 8 autoscale the plot so the graph is contained
plot . zoomToFit ( ) ;
// show plotter and make it a decent size
plot . show ( ) ;
plot . resize ( 600 , 600 ) ;
plot . setWindowTitle ( " JKQTPColumnRGBMathImage " ) ;
return app . exec ( ) ;
}