JKQtPlotter/examples/paramscatterplot_image
2022-04-15 23:01:09 +02:00
..
CMakeLists.txt reworked CMake build system ... now JKQT...Config.cmake-files are written into the correct directory 2019-11-18 15:59:06 +01:00
example.bmp using CMake now to build examples 2019-06-20 22:24:47 +02:00
paramscatterplot_image_and_lib.pro using CMake now to build examples 2019-06-20 22:24:47 +02:00
paramscatterplot_image.cpp activated high-dpi scaling for all JKQtPlotter examples 2022-04-15 23:01:09 +02:00
paramscatterplot_image.pro using CMake now to build examples 2019-06-20 22:24:47 +02:00
paramscatterplot_image.qrc using CMake now to build examples 2019-06-20 22:24:47 +02:00
README.md fixed rename setPalette()->setColorPalette() in examples 2020-09-11 15:28:56 +02:00

Example (JKQTPlotter): Draw an Artistic Image with a Parametrized Scatter Graph

This project (see ./examples/paramscatterplot_image/) demonstrates the capabilities of JKQTPXYParametrizedScatterGraph to display parametrized scatters in a rectangular arrangement. See the test program in examples/paramscatterplot for a basic example of the capabilities of JKQTPXYParametrizedScatterGraph.

In this example, we load an image, convert it to greyscale and store it, together with x/y-coordinate-vectors in the datastore. Then a JKQTPXYParametrizedScatterGraph is used to draw the image as a pointilistic artwork, where each pixel is represented by a disk. The color of the disk is chosen from a color-palette, based on the grey-value. The size of each disk is chosen from the inverse grey value.

First we prepare the data, as described above. The image is loaded and then converted to the required data vectors.

    // 2.1 load image
    QImage image(":/example.bmp");
    QVector<double> imageVector, pointSizes;
    QVector<double> X,Y;

    // 2.2 convert image to greyscale, stored in a vector in row-major order
    double maxSymbolSize=30; // maximal diameter of symbols in pt
    for (int y=0; y<image.height(); y++) {
        for (int x=0; x<image.width(); x++) {
            // calculate grey-value image vector
            imageVector.push_back(qGray(image.pixel(x,y)));
            // calculate point sizes from inverse grey value and scaling between 0 and maxSymbolSize
            pointSizes.push_back(static_cast<double>(255-qGray(image.pixel(x,y)))/255.0*maxSymbolSize);
            // calculate X/Y-coordinates (y mirrored, so image is upright)
            X.push_back(x);
            Y.push_back(image.height()-1-y);
        }
    }

    // 2.3 and copy it to the datastore
    size_t columnX=ds->addCopiedColumn(X, "x");
    size_t columnY=ds->addCopiedColumn(Y, "y");
    size_t columnG=ds->addCopiedColumn(imageVector, "greyscaleImageData");
    size_t columnS=ds->addCopiedColumn(pointSizes, "pointSizes");

Now we can use th datavectors to add a JKQTPXYParametrizedScatterGraph:

    JKQTPXYParametrizedScatterGraph* graph1=new JKQTPXYParametrizedScatterGraph(&plot);
    graph1->setXColumn(columnX);
    graph1->setYColumn(columnY);
    graph1->setSizeColumn(columnS);
    graph1->setSymbolType(JKQTPFilledCircle);
    graph1->setColorColumn(columnG);
    graph1->setColorPalette(JKQTPMathImageMATLAB);
    graph1->setDrawLine(false);
    graph1->setTitle("");
    plot.addGraph(graph1);

For illustrative purposes, the original image is shown at the bottom-left:

    JKQTPImage* graph2=new JKQTPImage(&plot);
    graph2->setImage(image);
    graph2->setX(0);
    graph2->setY(0);
    graph2->setWidth(10);
    graph2->setHeight(10);
    plot.addGraph(graph2);

Finally the plot is styled and the axis aspect ratios are fixed:

    // scale the plot so the graph is contained and format the coordinate system
    plot.getXAxis()->setAxisLabel("x-axis");
    plot.getYAxis()->setAxisLabel("y-axis");
    plot.getXAxis()->setDrawGrid(false);
    plot.getYAxis()->setDrawGrid(false);
    // max. size is the size of the image
    plot.setXY(0,image.width()-1,0,image.height()-1);
    plot.setAbsoluteXY(0,image.width()-1,0,image.height()-1);
    // ensure that axis aspect ratio and coordinate system aspect ratio are maintained
    plot.getPlotter()->setMaintainAspectRatio(true);
    plot.getPlotter()->setAspectRatio(1);
    plot.getPlotter()->setMaintainAxisAspectRatio(true);
    plot.getPlotter()->setAxisAspectRatio(1);

The full test appication combines all these variants and the result looks like this:

paramscatterplot_image

You can modify the example above in several ways, e.g. by choosing another symbol (e.g. a star):

paramscatterplot_image_star

... or by changing the color palette and the symbol:

paramscatterplot_image_palette

paramscatterplot_image_palette_triangle

... or even to set a different symbol for each pixel, based on the values in columnS (simply add graph1->setSymbolColumn(columnS)):

paramscatterplot_image_varsymbol