List of usage examples for org.jfree.data.statistics HistogramDataset addSeries
public void addSeries(Comparable key, double[] values, int bins)
From source file:com.rapidminer.gui.viewer.metadata.model.DateTimeAttributeStatisticsModel.java
/** * Creates a {@link HistogramDataset} for this {@link Attribute}. * * @param exampleSet// w w w.j a va 2 s . c o m * @return */ private HistogramDataset createHistogramDataset(final ExampleSet exampleSet) { HistogramDataset dataset = new HistogramDataset(); double[] array = new double[exampleSet.size()]; int count = 0; for (Example example : exampleSet) { double value = example.getDataRow().get(getAttribute()); // don't use missing values because otherwise JFreeChart tries to plot them too which // can lead to false histograms if (!Double.isNaN(value)) { array[count++] = value; } } // add points to data set (if any) if (count > 0) { // truncate array if necessary if (count < array.length) { array = Arrays.copyOf(array, count); } dataset.addSeries(getAttribute().getName(), array, Math.min(array.length, MAX_BINS_HISTOGRAM)); } return dataset; }
From source file:MSUmpire.DIA.TargetMatchScoring.java
public void MixtureModeling() throws IOException { if (libTargetMatches.isEmpty()) { return;//from w ww .jav a 2 s . c o m } int IDNo = 0; int decoyNo = 0; int modelNo = 0; double IDmean = 0d; double Decoymean = 0d; for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null) { IDNo++; IDmean += match.BestHit.UmpireScore; } } decoyNo = decoyModelingList.size(); for (PeakGroupScore peakGroupScore : decoyModelingList) { Decoymean += peakGroupScore.UmpireScore; } for (UmpireSpecLibMatch match : libTargetMatches) { //modelNo+= match.TargetHits.size(); if (match.BestMS1Hit != null) { modelNo++; } if (match.BestMS2Hit != null) { modelNo++; } } Decoymean /= decoyNo; IDmean /= IDNo; PVector[] points = new PVector[modelNo]; PVector[] centroids = new PVector[2]; int idx = 0; for (UmpireSpecLibMatch match : libTargetMatches) { if (match.BestMS1Hit != null) { points[idx] = new PVector(1); points[idx].array[0] = match.BestMS1Hit.UmpireScore; idx++; } if (match.BestMS2Hit != null) { points[idx] = new PVector(1); points[idx].array[0] = match.BestMS2Hit.UmpireScore; idx++; } // for(PeakGroupScore peakGroupScore : match.TargetHits){ // points[idx] = new PVector(1); // points[idx].array[0] = match.BestMS2Hit.UmpireScore; // idx++; // } } MixtureModel mmc; centroids[0] = new PVector(1); centroids[0].array[0] = Decoymean; centroids[1] = new PVector(1); centroids[1].array[0] = IDmean; Vector<PVector>[] clusters = KMeans.run(points, 2, centroids); MixtureModel mm = ExpectationMaximization1D.initialize(clusters); mmc = ExpectationMaximization1D.run(points, mm); DecimalFormat df = new DecimalFormat("#.####"); Logger.getRootLogger() .debug("----------------------------------------------------------------------------------------"); Logger.getRootLogger().debug("No. of modeling points=" + modelNo); Logger.getRootLogger().debug("ID hits mean=" + df.format(IDmean)); Logger.getRootLogger().debug("Decoy hits mean=" + df.format(Decoymean)); //System.out.print("T-test: p-value=" + df.format(model.ttest.pValue).toString() + "\n"); Logger.getRootLogger() .debug("Incorrect hits model mean=" + df.format(((PVector) mmc.param[0]).array[0]) + " variance=" + df.format(((PVector) mmc.param[0]).array[1]) + " weight=" + df.format(mmc.weight[0])); Logger.getRootLogger() .debug("Correct hits model mean=" + df.format(((PVector) mmc.param[1]).array[0]) + " variance=" + df.format(((PVector) mmc.param[1]).array[1]) + " weight=" + df.format(mmc.weight[1])); if (((PVector) mmc.param[0]).array[0] > ((PVector) mmc.param[1]).array[0]) { return; } float max = (float) (((PVector) mmc.param[1]).array[0] + 4 * Math.sqrt(((PVector) mmc.param[1]).array[1])); float min = (float) (((PVector) mmc.param[0]).array[0] - 4 * Math.sqrt(((PVector) mmc.param[0]).array[1])); IDNo = 0; decoyNo = 0; modelNo = 0; for (PeakGroupScore peakGroupScore : decoyModelingList) { if (peakGroupScore.UmpireScore > min && peakGroupScore.UmpireScore < max) { decoyNo++; } } for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null && match.BestHit.UmpireScore > min && match.BestHit.UmpireScore < max) { IDNo++; } } for (UmpireSpecLibMatch match : libTargetMatches) { //targetNo += match.TargetHits.size(); //decoyNo += match.DecoyHits.size(); if (match.BestMS1Hit != null && match.BestMS1Hit.UmpireScore > min && match.BestMS1Hit.UmpireScore < max) { modelNo++; } if (match.BestMS2Hit != null && match.BestMS2Hit.UmpireScore > min && match.BestMS2Hit.UmpireScore < max) { modelNo++; } //modelNo += match.TargetHits.size(); } double[] IDObs = new double[IDNo]; double[] DecoyObs = new double[decoyNo]; double[] ModelObs = new double[modelNo]; idx = 0; int didx = 0; int midx = 0; for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null && match.BestHit.UmpireScore > min && match.BestHit.UmpireScore < max) { IDObs[idx++] = match.BestHit.UmpireScore; } } for (PeakGroupScore peakGroupScore : decoyModelingList) { if (peakGroupScore.UmpireScore > min && peakGroupScore.UmpireScore < max) { DecoyObs[didx++] = peakGroupScore.UmpireScore; } } for (UmpireSpecLibMatch match : libTargetMatches) { // for(PeakGroupScore peak : match.TargetHits){ // ModelObs[midx++]=peak.UmpireScore; // } if (match.BestMS1Hit != null && match.BestMS1Hit.UmpireScore > min && match.BestMS1Hit.UmpireScore < max) { ModelObs[midx++] = match.BestMS1Hit.UmpireScore; } if (match.BestMS2Hit != null && match.BestMS2Hit.UmpireScore > min && match.BestMS2Hit.UmpireScore < max) { ModelObs[midx++] = match.BestMS2Hit.UmpireScore; } } String pngfile = FilenameUtils.getFullPath(Filename) + "/" + FilenameUtils.getBaseName(Filename) + "_" + LibID + "_LibMatchModel.png"; XYSeries model1 = new XYSeries("Incorrect matches"); XYSeries model2 = new XYSeries("Correct matches"); XYSeries model3 = new XYSeries("All target hits"); String modelfile = FilenameUtils.getFullPath(pngfile) + "/" + FilenameUtils.getBaseName(pngfile) + "_ModelPoints.txt"; FileWriter writer = new FileWriter(modelfile); writer.write("UScore\tModel\tCorrect\tDecoy\n"); int NoPoints = 1000; double[] model_kde_x = new double[NoPoints]; float intv = (max - min) / NoPoints; PVector point = new PVector(2); for (int i = 0; i < NoPoints; i++) { point.array[0] = max - i * intv; model_kde_x[i] = point.array[0]; point.array[1] = mmc.EF.density(point, mmc.param[0]) * mmc.weight[0]; model1.add(point.array[0], point.array[1]); point.array[1] = mmc.EF.density(point, mmc.param[1]) * mmc.weight[1]; model2.add(point.array[0], point.array[1]); } KernelDensityEstimator kde = new KernelDensityEstimator(); kde.SetData(ModelObs); double[] model_kde_y = kde.Density(model_kde_x); for (int i = 0; i < NoPoints; i++) { if (model_kde_x[i] > min && model_kde_x[i] < max) { point.array[0] = max - i * intv; model_kde_x[i] = point.array[0]; model3.add(model_kde_x[i], model_kde_y[i]); writer.write(point.array[0] + "\t" + mmc.EF.density(point, mmc.param[0]) * mmc.weight[0] + "\t" + mmc.EF.density(point, mmc.param[1]) * mmc.weight[1] + "\t" + model_kde_y[i] + "\n"); } } writer.close(); MixtureModelProb = new float[NoPoints + 1][3]; float positiveaccu = 0f; float negativeaccu = 0f; MixtureModelProb[0][0] = (float) model2.getMaxX() + Float.MIN_VALUE; MixtureModelProb[0][1] = 1f; MixtureModelProb[0][2] = 1f; for (int i = 1; i < NoPoints + 1; i++) { float positiveNumber = model2.getY(NoPoints - i).floatValue(); float negativeNumber = model1.getY(NoPoints - i).floatValue(); MixtureModelProb[i][0] = model2.getX(NoPoints - i).floatValue(); positiveaccu += positiveNumber; negativeaccu += negativeNumber; MixtureModelProb[i][2] = positiveNumber / (negativeNumber + positiveNumber); MixtureModelProb[i][1] = positiveaccu / (negativeaccu + positiveaccu); } XYSeriesCollection dataset = new XYSeriesCollection(); dataset.addSeries(model1); dataset.addSeries(model2); dataset.addSeries(model3); HistogramDataset histogramDataset = new HistogramDataset(); histogramDataset.setType(HistogramType.SCALE_AREA_TO_1); histogramDataset.addSeries("ID hits", IDObs, 100); histogramDataset.addSeries("Decoy hits", DecoyObs, 100); //histogramDataset.addSeries("Model hits", ModelObs, 100); JFreeChart chart = ChartFactory.createHistogram(FilenameUtils.getBaseName(pngfile), "Score", "Hits", histogramDataset, PlotOrientation.VERTICAL, true, false, false); XYPlot plot = chart.getXYPlot(); NumberAxis domain = (NumberAxis) plot.getDomainAxis(); domain.setRange(min, max); plot.setBackgroundPaint(Color.white); plot.setDomainGridlinePaint(Color.white); plot.setRangeGridlinePaint(Color.white); plot.setForegroundAlpha(0.8f); chart.setBackgroundPaint(Color.white); XYLineAndShapeRenderer render = new XYLineAndShapeRenderer(); // render.setSeriesPaint(0, Color.DARK_GRAY); // render.setSeriesPaint(1, Color.DARK_GRAY); // render.setSeriesPaint(2, Color.GREEN); // render.setSeriesShape(0, new Ellipse2D.Double(0, 0, 2, 2)); // render.setSeriesShape(1, new Ellipse2D.Double(0, 0, 2, 2)); // render.setSeriesShape(2, new Ellipse2D.Double(0, 0, 2.5f, 2.5f)); // render.setSeriesStroke(1, new BasicStroke(1.0f)); // render.setSeriesStroke(0, new BasicStroke(1.0f)); // render.setSeriesStroke(2, new BasicStroke(2.0f)); plot.setDataset(1, dataset); plot.setRenderer(1, render); plot.setDatasetRenderingOrder(DatasetRenderingOrder.FORWARD); try { ChartUtilities.saveChartAsPNG(new File(pngfile), chart, 1000, 600); } catch (IOException e) { } }
From source file:org.fhcrc.cpl.viewer.amt.commandline.AmtDatabaseDiagnosticCommandLineModule.java
/** * * @return//from w ww . j a v a 2 s . c o m */ protected JFreeChart histogramIDProbs() { HistogramDataset dataset = new HistogramDataset(); List<Double> histDataList = new ArrayList<Double>(); AmtPeptideEntry[] entries = amtDB.getEntries(); for (AmtPeptideEntry entry : entries) { if (entry.getNumObservations() > 1) histDataList.add((double) entry.calculateIDProbability()); } double[] histData = new double[histDataList.size()]; for (int i = 0; i < histData.length; i++) histData[i] = histDataList.get(i); ApplicationContext.setMessage("Mean ID probability: " + BasicStatistics.mean(histData)); dataset.addSeries("ID probablity", histData, 200); JFreeChart chart = ChartFactory.createHistogram("id_probability", "id_probability", "id_probability", dataset, PlotOrientation.VERTICAL, false, false, false); PanelWithChart pwc = new PanelWithChart(chart); pwc.setName("id probs"); if (showCharts) pwc.displayInTab(); return pwc.getChart(); }
From source file:org.fhcrc.cpl.viewer.amt.commandline.AmtDatabaseDiagnosticCommandLineModule.java
/** * Show a histogram of the standard deviations of hydrophobicity observations per peptide * @return/* w ww . ja va 2 s . c o m*/ */ protected JFreeChart histogramHydroStdDev() { HistogramDataset dataset = new HistogramDataset(); List<Double> histDataList = new ArrayList<Double>(); AmtPeptideEntry[] entries = amtDB.getEntries(); for (int i = 0; i < amtDB.numEntries(); i++) { if (entries[i].getNumObservations() > 1) histDataList.add(entries[i].getHydrophobicityStandardDeviation()); } double[] histData = new double[histDataList.size()]; for (int i = 0; i < histData.length; i++) histData[i] = histDataList.get(i); ApplicationContext.setMessage("Mean H standard deviation: " + BasicStatistics.mean(histData)); dataset.addSeries("hyd_std_dev", histData, 100); JFreeChart chart = ChartFactory.createHistogram("hydstddev", "hydstddev", "hydstddev", dataset, PlotOrientation.VERTICAL, false, false, false); PanelWithChart pwc = new PanelWithChart(chart); pwc.setName("mean h std devs"); if (showCharts) pwc.displayInTab(); return pwc.getChart(); }
From source file:be.ugent.maf.cellmissy.gui.controller.analysis.singlecell.SingleCellAnalysisController.java
/** * For a single well, generate an histogram dataset. * * @param data//from w w w .jav a 2 s . c o m * @param seriesKey * @param mapTo360 * @return an HistogramDataset */ private HistogramDataset getHistogramDatasetForACondition( SingleCellConditionDataHolder singleCellConditionDataHolder, String seriesKey, int bins) { HistogramDataset dataset = new HistogramDataset(); dataset.setType(HistogramType.RELATIVE_FREQUENCY); double[] toPrimitive = ArrayUtils.toPrimitive( AnalysisUtils.excludeNullValues(singleCellConditionDataHolder.getTurningAnglesVector())); double[] mappedData = new double[toPrimitive.length]; for (int i = 0; i < toPrimitive.length; i++) { if (toPrimitive[i] > 0) { mappedData[i] = toPrimitive[i]; } else { mappedData[i] = toPrimitive[i] + 360; } } double[] toAdd = mappedData; dataset.addSeries(seriesKey, toAdd, bins); return dataset; }
From source file:be.ugent.maf.cellmissy.gui.controller.analysis.singlecell.AngleDirectController.java
/** * For a single well, generate an histogram dataset. * * @param data//from ww w . ja va2 s .co m * @param seriesKey * @param mapTo360 * @return an HistogramDataset */ private HistogramDataset getHistogramDatasetForAWell(String seriesKey, Double[] data, int bins, HistogramType type, boolean mapTo360) { HistogramDataset dataset = new HistogramDataset(); dataset.setType(type); double[] toPrimitive = ArrayUtils.toPrimitive(AnalysisUtils.excludeNullValues(data)); double[] toAdd; if (!mapTo360) { toAdd = toPrimitive; } else { double[] mappedData = new double[toPrimitive.length]; for (int i = 0; i < toPrimitive.length; i++) { if (toPrimitive[i] > 0) { mappedData[i] = toPrimitive[i]; } else { mappedData[i] = toPrimitive[i] + 360; } } toAdd = mappedData; } dataset.addSeries(seriesKey, toAdd, bins); return dataset; }
From source file:syg_package01.PanelRysunek2.java
private void initGUI() { try {/*w w w . jav a 2 s.c o m*/ GridLayout thisLayout = new GridLayout(1, 1); thisLayout.setHgap(5); thisLayout.setVgap(5); thisLayout.setColumns(1); this.setLayout(thisLayout); setPreferredSize(new Dimension(400, 300)); if (this.wykres) { double punkt = this.sygnalWyswietlany.gett1(); HistogramDataset histogramDataset = new HistogramDataset(); histogramDataset.setType(HistogramType.FREQUENCY); ArrayList<Double> punkty = new ArrayList<Double>(); double ta = this.sygnalWyswietlany.gett1(); if (this.sygnalWyswietlany.getrodzaj() == rodzaj_sygnalu.CIAGLY || sygnalWyswietlany.getPunktyY().size() <= 0) { while (ta <= this.sygnalWyswietlany.gett1() + this.sygnalWyswietlany.getd()) { punkt = this.sygnalWyswietlany.wykres_punkty(punkt, ta); // this.sygnalWyswietlany.setPunktyY (punkt); punkty.add(punkt); ta = ta + this.sygnalWyswietlany.getkroczek(); } } else if (this.sygnalWyswietlany.getrodzaj() == rodzaj_sygnalu.DYSKRETNY) { int iloscProbek = (int) (this.sygnalWyswietlany.getT() / (Double) this.sygnalWyswietlany.getkroczek()); for (int i = 0; i < iloscProbek; i++) { punkt = this.sygnalWyswietlany.getPunktzindexu(i); punkty.add(punkt); ta = ta + this.sygnalWyswietlany.getkroczek(); } } JFreeChart chartHist; if (this.iloscPrzedzialowHistogramu > 0) { double[] tablicaHistogramu = new double[punkty.size()]; for (int licznik = 0; licznik < punkty.size(); ++licznik) tablicaHistogramu[licznik] = punkty.get(licznik); histogramDataset.addSeries("Histogram (" + iloscPrzedzialowHistogramu + ")", tablicaHistogramu, this.iloscPrzedzialowHistogramu); chartHist = ChartFactory.createHistogram("Histogram", null, null, histogramDataset, PlotOrientation.VERTICAL, true, false, false); final XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(); renderer.setSeriesLinesVisible(0, false); ChartPanel chartpanel1 = new ChartPanel(chartHist); chartpanel1.setDomainZoomable(true); this.add(chartpanel1); } } Application.getInstance().getContext().getResourceMap(getClass()).injectComponents(this); } catch (Exception e) { e.printStackTrace(); } }
From source file:net.bioclipse.chembl.business.ChEMBLManager.java
public void moSSViewHistogram(IStringMatrix matrix) throws BioclipseException { XYSeries series = new XYSeries("Activity for compounds"); HistogramDataset histogramSeries = new HistogramDataset(); histogramSeries.setType(HistogramType.FREQUENCY); ArrayList<Double> activites = new ArrayList<Double>(); double value; int cnt = 1;//from www . jav a2 s . com double[] histact = new double[matrix.getRowCount() + 1]; for (int i = 1; i < matrix.getRowCount() + 1; i++) { if (matrix.get(i, "actval").equals("")) { value = 0; } else { value = Double.parseDouble(matrix.get(i, "actval")); } activites.add(value); } //Sort list to increasing order of activities and adds them to histogram Collections.sort(activites); for (int i = 0; i < activites.size(); i++) { double d = activites.get(i); histact[i] = d; int t = activites.size() - 1; if (i == t) { series.add(d, cnt); } else { double dd = activites.get(i + 1); if (d == dd) { cnt++; } else { histact[i] = d; series.add(d, cnt); cnt = 1; } } } histogramSeries.addSeries("Histogram", histact, matrix.getRowCount()); JFreeChart jfreechart = ChartFactory.createXYLineChart("Histogram", "Activity values", "Number of compounds", histogramSeries, PlotOrientation.VERTICAL, true, false, false); ChartFrame frame = new ChartFrame("Activities", jfreechart); frame.pack(); frame.setVisible(true); }
From source file:tarea1.controlador.java
public void seleccionOpcion(int z) throws IOException, Exception { switch (z) {// w w w .java 2 s. co m case 1: { //ELEGIR UN ARCHIVO// //EN CASO DE QUERER CAMBIAR EL TIPO DE ARCHIVO. FileNameExtensionFilter filter = new FileNameExtensionFilter("Image Files", "bmp"); JFileChooser abrir = new JFileChooser(); abrir.setFileSelectionMode(JFileChooser.FILES_ONLY); abrir.setFileFilter(filter); abrir.setCurrentDirectory(new File(System.getProperty("user.home"))); int result = abrir.showOpenDialog(inicio); if (result == JFileChooser.APPROVE_OPTION) { // se seleciona el archivo de imagen original File selectedFile = abrir.getSelectedFile(); ruta = selectedFile.getAbsolutePath(); System.out.println("El archivo es: " + ruta); //ruta img = ImageIO.read(new File(ruta)); //se lee el archivo rotate = false; zoomv = false; escalav = false; brillos = false; contrastes = false; undoDelete = false; undoIndex = 0; Change(); inicio.setTitle("PDI: Tarea 3 -" + ruta); } } break;//end case 1 case 2: //imagen en negativo { //se crea un buffer BufferedImage imagenNegativa = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); //se convierten los colores a negativo y se va guardando en el buffer for (int y = 0; y < alto; y++) { for (int x = 0; x < ancho; x++) { int p = img.getRGB(x, y); //obtenermos el valor r g b a de cada pixel // int a = (p>>24)&0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; //se resta el rbg r = truncate(255 - r); g = truncate(255 - g); b = truncate(255 - b); //se guarda el rgb p = (r << 16) | (g << 8) | b; imagenNegativa.setRGB(x, y, p); } } //PARA LOS ROTACIONES img = imagenNegativa; ancho = img.getWidth(); alto = img.getHeight(); //se crea un buffer imagenNegativa = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); //se convierten los colores a negativo y se va guardando en el buffer for (int y = 0; y < alto; y++) { for (int x = 0; x < ancho; x++) { int p = original.getRGB(x, y); //obtenermos el valor r g b a de cada pixel int a = (p >> 24) & 0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; //se resta el rbg r = 255 - r; g = 255 - g; b = 255 - b; //se guarda el rgb p = (a << 24) | (r << 16) | (g << 8) | b; imagenNegativa.setRGB(x, y, p); } } img = imagenNegativa; Change(); } break;//end case 2 case 3: //flip imagen vertical { //buffer para la imagen BufferedImage mirrorimgV = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); //recorremos pixel a pixel tooooooooooooodo el buffer for (int i = 0; i < alto; i++) { for (int izquierda = 0, derecha = ancho - 1; izquierda < alto; izquierda++, derecha--) { int p = img.getRGB(izquierda, i); mirrorimgV.setRGB(derecha, i, p); } } img = mirrorimgV; Change(); } break;//end case 3 case 4://flip imagen horizontal { BufferedImage mirrorimgH = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); for (int i = 0; i < ancho; i++) { for (int arriba = 0, abajo = alto - 1; arriba < alto; arriba++, abajo--) { int p = img.getRGB(i, arriba); mirrorimgH.setRGB(i, abajo, p); } } img = mirrorimgH; Change(); } break;//end case 4 case 5: { //boton de reset //RESET File f = null; //leer image try { f = new File(ruta); rotate = false; zoomv = false; escalav = false; brillos = false; contrastes = false; undoDelete = false; undoIndex = 0; img = ImageIO.read(f); } catch (IOException e) { System.out.println(e); } Change(); } break; //end case 5 case 6: { //leer en formato binario FileNameExtensionFilter filter = new FileNameExtensionFilter("Image Files", "bmp"); JFileChooser abrir = new JFileChooser(); abrir.setFileSelectionMode(JFileChooser.FILES_ONLY); abrir.setFileFilter(filter); //abrir.setCurrentDirectory(new File(System.getProperty("user.home"))); abrir.setCurrentDirectory(new File(System.getProperty("user.dir"))); int result = abrir.showOpenDialog(inicio); if (result == JFileChooser.APPROVE_OPTION) { try { File selectedFile = abrir.getSelectedFile(); ruta = selectedFile.getAbsolutePath(); FileInputStream is = null; is = new FileInputStream(ruta); bmp.read(is); System.out.println("aqui"); MemoryImageSource mis = bmp.crearImageSource(); System.out.println("hola"); Image im = Toolkit.getDefaultToolkit().createImage(mis); //Para poder colorcarlo en el label //Image image = createImage(new MemoryImageSource(bmp.crearImageSource())); BufferedImage newImage = new BufferedImage(im.getWidth(null), im.getHeight(null), BufferedImage.TYPE_INT_RGB); //obtenemos la imagen que si se puede desplgar Graphics2D g = newImage.createGraphics(); g.drawImage(im, 0, 0, null); g.dispose(); img = newImage; rotate = false; zoomv = false; escalav = false; brillos = false; contrastes = false; undoDelete = false; undoIndex = 0; Change(); //add img info inicio.setTitle("PDI: Tarea 3 -" + ruta); //dimensiones, profundidad de bits, Mb ocupados content = ("Size: " + (bmp.tamArchivo) / 1000 + "kb\nDimension: " + bmp.ancho + " x " + bmp.alto + "\nBpp: " + bmp.bitsPorPixel + "bits"); ancho = bmp.ancho; alto = bmp.alto; } catch (Exception ex) { Logger.getLogger(controlador.class.getName()).log(Level.SEVERE, null, ex); } } //end approval if } break; //end case 6 //girar CW case 7: { BufferedImage new_Image = new BufferedImage(alto, ancho, BufferedImage.TYPE_INT_RGB); for (int i = 0; i < ancho; i++) { for (int j = 0; j < alto; j++) { int p = img.getRGB(i, j); new_Image.setRGB(alto - j - 1, i, p); } } img = new_Image; Change(); } break;//end case 7 //girar CCW case 8: { BufferedImage new_Image = new BufferedImage(alto, ancho, BufferedImage.TYPE_INT_RGB); for (int i = 0; i < ancho; i++) { for (int j = 0; j < alto; j++) { int p = img.getRGB(i, j); new_Image.setRGB(j, ancho - i - 1, p); } } img = new_Image; Change(); } break;//end case 8 case 9: { //Guardar Imagen FileNameExtensionFilter filter = new FileNameExtensionFilter("Image Files", "bmp"); JFileChooser fileChooser = new JFileChooser(); fileChooser.setFileFilter(filter); fileChooser.setDialogTitle("Save"); fileChooser.setCurrentDirectory(new File(System.getProperty("user.home"))); int userSelection = fileChooser.showSaveDialog(inicio); if (userSelection == JFileChooser.APPROVE_OPTION) { File fileToSave = fileChooser.getSelectedFile(); System.out.println("Save as file: " + fileToSave.getAbsolutePath() + ".bmp"); System.out.println("Save as: " + fileToSave.getName()); bmp.saveMyLifeTonight(fileToSave, img); } } break; case 10: { //free rotation double anguloCartesiano = inicio.optionr; double aux; if (rotate == false) { original = img; } //para la ilusion de rotar sobre la "misma imagen" if (anguloCartesiano < 0) { aux = anguloCartesiano; anguloCartesiano = anguloCartesiano + angulo; angulo = anguloCartesiano; } else if (anguloCartesiano > 0) { aux = anguloCartesiano; anguloCartesiano = angulo + anguloCartesiano; angulo = anguloCartesiano; } anguloCartesiano = anguloCartesiano * Math.PI / 180; //CC coordinates int x, y; double distance, anguloPolar; int pisoX, techoX, pisoY, techoY; double rasterX, rasterY; // colores de los pixeles Color colorTL = null, colorTR, colorBL, colorBR = null; // interpolaciones double intX, intY; double rojoT, verdeT, azulT; double rojoB, verdeB, azulB; int centroX, centroY; centroX = original.getWidth() / 2; centroY = original.getHeight() / 2; BufferedImage imagenRotada = new BufferedImage(original.getWidth(), original.getHeight(), BufferedImage.TYPE_INT_ARGB);//fondo transparente for (int i = 0; i < original.getHeight(); ++i) for (int j = 0; j < original.getWidth(); ++j) { // convert raster to Cartesian x = j - centroX; y = centroY - i; // convert Cartesian to polar distance = Math.sqrt(x * x + y * y); anguloPolar = 0.0; if (x == 0) { if (y == 0) { // centre of image, no rotation needed imagenRotada.setRGB(j, i, original.getRGB(j, i)); continue; } else if (y < 0) anguloPolar = 1.5 * Math.PI; else anguloPolar = 0.5 * Math.PI; } else anguloPolar = Math.atan2((double) y, (double) x); // anguloPolar -= anguloCartesiano; //polr a carte rasterX = distance * Math.cos(anguloPolar); rasterY = distance * Math.sin(anguloPolar); // cartesiano a raster rasterX = rasterX + (double) centroX; rasterY = (double) centroY - rasterY; pisoX = (int) (Math.floor(rasterX)); pisoY = (int) (Math.floor(rasterY)); techoX = (int) (Math.ceil(rasterX)); techoY = (int) (Math.ceil(rasterY)); // check bounds /// AQUIWWIUEI if (pisoX < 0 || techoX < 0 || pisoX >= original.getWidth() || techoX >= original.getWidth() || pisoY < 0 || techoY < 0 || pisoY >= original.getHeight() || techoY >= original.getHeight()) continue; intX = rasterX - (double) pisoX; intY = rasterY - (double) pisoY; colorTL = new Color(original.getRGB(pisoX, pisoY)); colorTR = new Color(original.getRGB(techoX, pisoY)); colorBL = new Color(original.getRGB(pisoX, techoY)); colorBR = new Color(original.getRGB(techoX, techoY)); // interpolacion horizontal top rojoT = (1 - intX) * colorTL.getRed() + intX * colorTR.getRed(); verdeT = (1 - intX) * colorTL.getGreen() + intX * colorTR.getGreen(); azulT = (1 - intX) * colorTL.getBlue() + intX * colorTR.getBlue(); // interpolacion horizontal bot rojoB = (1 - intX) * colorBL.getRed() + intX * colorBR.getRed(); verdeB = (1 - intX) * colorBL.getGreen() + intX * colorBR.getGreen(); azulB = (1 - intX) * colorBL.getBlue() + intX * colorBR.getBlue(); // interpolacion vertical int p = original.getRGB(j, i); int a = (p >> 24) & 0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; r = truncate(Math.round((1 - intY) * rojoT + intY * rojoB)); g = truncate(Math.round((1 - intY) * verdeT + intY * verdeB)); b = truncate(Math.round((1 - intY) * azulT + intY * azulB)); p = (a << 24) | (r << 16) | (g << 8) | b; imagenRotada.setRGB(j, i, p); } img = imagenRotada; rotate = true; inicio.jLabel3.setBounds(0, 0, ancho, alto); ImageIcon icon = new ImageIcon(img); inicio.jLabel3.setIcon(icon); } break; //case 10 case 11: { //histogram //para recorrer todos los valores y obtener los samples /* for (y) { for (x) { pixel = raster.getDataElements(x, y, pixel); } } */ int BINS = 256; HistogramDataset dataset = new HistogramDataset(); Raster raster = img.getRaster(); double[] r = new double[ancho * alto]; ChartPanel panelB = null; ChartPanel panelG = null; ChartPanel panelR = null; ChartPanel panel; if (bmp.bitsPorPixel == 1) { r = raster.getSamples(0, 0, ancho, alto, 0, r); ColorModel ColorM = img.getColorModel(); dataset.addSeries("Grey", r, BINS); //de aqui para abajo es el plotting // chart all JFreeChart chart = ChartFactory.createHistogram("Histogram", "Value", "Count", dataset, PlotOrientation.VERTICAL, true, true, false); XYPlot plot = (XYPlot) chart.getPlot(); XYBarRenderer renderer = (XYBarRenderer) plot.getRenderer(); renderer.setBarPainter(new StandardXYBarPainter()); Paint[] paintArray = { new Color(0x80ff0000, true) }; plot.setDrawingSupplier( new DefaultDrawingSupplier(paintArray, DefaultDrawingSupplier.DEFAULT_FILL_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE)); panel = new ChartPanel(chart); panel.setMouseWheelEnabled(true); } else { r = raster.getSamples(0, 0, ancho, alto, 0, r); dataset.addSeries("Red", r, BINS); r = raster.getSamples(0, 0, ancho, alto, 1, r); dataset.addSeries("Green", r, BINS); r = raster.getSamples(0, 0, ancho, alto, 2, r); dataset.addSeries("Blue", r, BINS); //de aqui para abajo es el plotting // chart all JFreeChart chart = ChartFactory.createHistogram("Histogram", "Value", "Count", dataset, PlotOrientation.VERTICAL, true, true, false); XYPlot plot = (XYPlot) chart.getPlot(); XYBarRenderer renderer = (XYBarRenderer) plot.getRenderer(); renderer.setBarPainter(new StandardXYBarPainter()); // translucent red, green & blue Paint[] paintArray = { new Color(0x80ff0000, true), new Color(0x8000ff00, true), new Color(0x800000ff, true) }; plot.setDrawingSupplier( new DefaultDrawingSupplier(paintArray, DefaultDrawingSupplier.DEFAULT_FILL_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE)); panel = new ChartPanel(chart); panel.setMouseWheelEnabled(true); //CHART Red HistogramDataset datasetR = new HistogramDataset(); r = raster.getSamples(0, 0, ancho, alto, 0, r); datasetR.addSeries("Red", r, BINS); JFreeChart chartR = ChartFactory.createHistogram("Histogram B", "Value", "Count", datasetR, PlotOrientation.VERTICAL, true, true, false); XYPlot plotR = (XYPlot) chartR.getPlot(); XYBarRenderer rendererR = (XYBarRenderer) plotR.getRenderer(); rendererR.setBarPainter(new StandardXYBarPainter()); // translucent red, green & blue Paint[] paintArrayR = { new Color(0x80ff0000, true) }; plotR.setDrawingSupplier( new DefaultDrawingSupplier(paintArrayR, DefaultDrawingSupplier.DEFAULT_FILL_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE)); panelR = new ChartPanel(chartR); panelR.setMouseWheelEnabled(true); //CHART GREEN HistogramDataset datasetG = new HistogramDataset(); r = raster.getSamples(0, 0, ancho, alto, 1, r); datasetG.addSeries("Green", r, BINS); JFreeChart chartG = ChartFactory.createHistogram("Histogram G ", "Value", "Count", datasetG, PlotOrientation.VERTICAL, true, true, false); XYPlot plotG = (XYPlot) chartG.getPlot(); XYBarRenderer rendererG = (XYBarRenderer) plotG.getRenderer(); rendererG.setBarPainter(new StandardXYBarPainter()); // translucent red, green & blue Paint[] paintArrayG = { new Color(0x8000ff00, true) }; plotG.setDrawingSupplier( new DefaultDrawingSupplier(paintArrayG, DefaultDrawingSupplier.DEFAULT_FILL_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE)); panelG = new ChartPanel(chartG); panelG.setMouseWheelEnabled(true); //CHART BLUE HistogramDataset datasetB = new HistogramDataset(); r = raster.getSamples(0, 0, ancho, alto, 2, r); datasetB.addSeries("Blue", r, BINS); JFreeChart chartB = ChartFactory.createHistogram("Histogram B ", "Value", "Count", datasetB, PlotOrientation.VERTICAL, true, true, false); XYPlot plotB = (XYPlot) chartB.getPlot(); XYBarRenderer rendererB = (XYBarRenderer) plotB.getRenderer(); rendererB.setBarPainter(new StandardXYBarPainter()); // translucent red, green & blue Paint[] paintArrayB = { new Color(0x800000ff, true) }; plotB.setDrawingSupplier( new DefaultDrawingSupplier(paintArrayB, DefaultDrawingSupplier.DEFAULT_FILL_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_PAINT_SEQUENCE, DefaultDrawingSupplier.DEFAULT_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_OUTLINE_STROKE_SEQUENCE, DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE)); panelB = new ChartPanel(chartB); panelB.setMouseWheelEnabled(true); } //JTabbedPane jtp=new JTabbedPane(); if (!viewH) { inicio.jTabbedPane1.addTab("Histogram", panel); inicio.jTabbedPane1.addTab("Histogram R", panelR); inicio.jTabbedPane1.addTab("Histogram G", panelG); inicio.jTabbedPane1.addTab("Histogram B", panelB); viewH = true; } else { inicio.jTabbedPane1.remove(inicio.jTabbedPane1.indexOfTab("Histogram")); inicio.jTabbedPane1.remove(inicio.jTabbedPane1.indexOfTab("Histogram R")); inicio.jTabbedPane1.remove(inicio.jTabbedPane1.indexOfTab("Histogram G")); inicio.jTabbedPane1.remove(inicio.jTabbedPane1.indexOfTab("Histogram B")); viewH = false; } } break; case 12: { //BRILLO int dif = inicio.brillo; if (brillos == false) { original = img; } int ancho = img.getWidth(); int alto = img.getHeight(); //se crea un buffer BufferedImage brillito = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); //se convierten los colores a negativo y se va guardando en el buffer for (int y = 0; y < alto; y++) { for (int x = 0; x < ancho; x++) { int p = original.getRGB(x, y); //obtenemos el valor r g b a de cada pixel int a = (p >> 24) & 0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; //se resta el rbg r = truncate(r + dif); g = truncate(g + dif); b = truncate(b + dif); //se guarda el rgb p = (r << 16) | (g << 8) | b; brillito.setRGB(x, y, p); } } img = brillito; brillos = true; inicio.jLabel3.setBounds(0, 0, ancho, alto); ImageIcon icon = new ImageIcon(img); inicio.jLabel3.setIcon(icon); } break; //end case 12 case 13: { //CONTRAST double dif = inicio.contraste; double level = Math.pow(((100.0 + dif) / 100.0), 2.0); if (contrastes == false) { original = img; } int ancho = original.getWidth(); int alto = original.getHeight(); BufferedImage contraste = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); for (int y = 0; y < alto; y++) { for (int x = 0; x < ancho; x++) { int p = original.getRGB(x, y); int a = (p >> 24) & 0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; b = truncate((int) ((((((double) b / 255.0) - 0.5) * level) + 0.5) * 255.0)); g = truncate((int) ((((((double) g / 255.0) - 0.5) * level) + 0.5) * 255.0)); r = truncate((int) ((((((double) r / 255.0) - 0.5) * level) + 0.5) * 255.0)); p = (r << 16) | (g << 8) | b; contraste.setRGB(x, y, p); } } img = contraste; contrastes = true; inicio.jLabel3.setBounds(0, 0, ancho, alto); ImageIcon icon = new ImageIcon(img); inicio.jLabel3.setIcon(icon); } break;// case 13 case 14: { //UMBRALIZACION double u = inicio.umbral; if (inicio.jCheckBox1.isSelected()) { int ancho = img.getWidth(); int alto = img.getHeight(); BufferedImage contraste = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); for (int y = 0; y < alto; y++) { for (int x = 0; x < ancho; x++) { int p = img.getRGB(x, y); int a = (p >> 24) & 0xff; int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; double mediana = (double) (r + b + g); mediana /= 3; int med = (int) Math.round(mediana); b = med; g = med; r = med; if (r <= u) r = 0; else r = 255; if (g <= u) g = 0; else g = 255; if (b <= u) b = 0; else b = 255; p = (r << 16) | (g << 8) | b; contraste.setRGB(x, y, p); } } img = contraste; Change(); } } break; case 15: { BufferedImage equalized = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); int r, g, b, a; int pixel = 0; //look up table rgb int[] rhist = new int[256]; int[] ghist = new int[256]; int[] bhist = new int[256]; for (int i = 0; i < rhist.length; i++) rhist[i] = 0; for (int i = 0; i < ghist.length; i++) ghist[i] = 0; for (int i = 0; i < bhist.length; i++) bhist[i] = 0; for (int i = 0; i < img.getWidth(); i++) { for (int j = 0; j < img.getHeight(); j++) { int red = new Color(img.getRGB(i, j)).getRed(); int green = new Color(img.getRGB(i, j)).getGreen(); int blue = new Color(img.getRGB(i, j)).getBlue(); rhist[red]++; ghist[green]++; bhist[blue]++; } } //histograma color ArrayList<int[]> imageHist = new ArrayList<int[]>(); imageHist.add(rhist); imageHist.add(ghist); imageHist.add(bhist); //lookup table ArrayList<int[]> imgLT = new ArrayList<int[]>(); // llenar rhist = new int[256]; ghist = new int[256]; bhist = new int[256]; for (int i = 0; i < rhist.length; i++) rhist[i] = 0; for (int i = 0; i < ghist.length; i++) ghist[i] = 0; for (int i = 0; i < bhist.length; i++) bhist[i] = 0; long rojosT = 0; long verdesT = 0; long azulT = 0; // float factorDeEscala = (float) (255.0 / (ancho * alto)); for (int i = 0; i < rhist.length; i++) { rojosT += imageHist.get(0)[i]; int valor = (int) (rojosT * factorDeEscala); if (valor > 255) { rhist[i] = 255; } else rhist[i] = valor; verdesT += imageHist.get(1)[i]; int valg = (int) (verdesT * factorDeEscala); if (valg > 255) { ghist[i] = 255; } else ghist[i] = valg; azulT += imageHist.get(2)[i]; int valb = (int) (azulT * factorDeEscala); if (valb > 255) { bhist[i] = 255; } else bhist[i] = valb; } imgLT.add(rhist); imgLT.add(ghist); imgLT.add(bhist); for (int i = 0; i < ancho; i++) { for (int j = 0; j < alto; j++) { // colores a = new Color(img.getRGB(i, j)).getAlpha(); r = new Color(img.getRGB(i, j)).getRed(); g = new Color(img.getRGB(i, j)).getGreen(); b = new Color(img.getRGB(i, j)).getBlue(); // nuevos valoooooores r = imgLT.get(0)[r]; g = imgLT.get(1)[g]; b = imgLT.get(2)[b]; // rgb otra vez pixel = colorToRGB(a, r, g, b); //imagen final equalized.setRGB(i, j, pixel); } } img = equalized; Change(); } break; case 16: { //zoom double du = inicio.zoom; double u = du / 100; if (zoomv == false) { original = img; } BufferedImage zoom = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); for (int i = 0; i < zoom.getHeight(); ++i) for (int j = 0; j < zoom.getWidth(); ++j) { //nearest if (tipo == 1) { int ax = (int) (Math.floor(i / u)); int ay = (int) (Math.floor(j / u)); int p = original.getRGB(ax, ay); zoom.setRGB(i, j, p); } //bilinear if (tipo == 2) { } //no loss if (tipo == 0) { int ax = (int) (i / u); int ay = (int) (j / u); int p = original.getRGB(ax, ay); zoom.setRGB(i, j, p); } } img = zoom; zoomv = true; inicio.jLabel3.setBounds(0, 0, ancho, alto); ImageIcon icon = new ImageIcon(img); inicio.jLabel3.setIcon(icon); } break; case 17: { //escala double du = inicio.escala; double u = du / 100; if (escalav == false) { original = img; } int escalaX = (int) (ancho * u); int escalaY = (int) (alto * u); BufferedImage escala = new BufferedImage(escalaX, escalaY, BufferedImage.TYPE_INT_RGB); for (int i = 0; i < escala.getHeight(); ++i) for (int j = 0; j < escala.getWidth(); ++j) { //R(x,y):= A(x/ax, y/ay) //R(x,y):= A(Floor x/10 ,Floor /10) //nearest if (tipo == 1) { int ax = (int) (Math.floor(i / u)); int ay = (int) (Math.floor(j / u)); int p = original.getRGB(ax, ay); escala.setRGB(i, j, p); } //bilinear if (tipo == 2) { } //no loss if (tipo == 0) { int ax = (int) (i / u); int ay = (int) (j / u); int p = original.getRGB(ax, ay); escala.setRGB(i, j, p); } } img = escala; escalav = true; inicio.jLabel3.setBounds(0, 0, ancho, alto); ImageIcon icon = new ImageIcon(img); inicio.jLabel3.setIcon(icon); content = ("Dimension: " + img.getWidth() + " x " + img.getHeight() + "\nBpp: " + bmp.bitsPorPixel + "bits"); } break; case 18://prewitt both { BufferedImage aux = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); aux = img; BufferedImage y, x; float[][] arraya = { { -1, 0, 1 }, { -1, 0, 1 }, { -1, 0, 1 } }; float[][] arrayb = { { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, }; float[][] arrayc = { { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, }; float[][] array = { { -1, -1, -1 }, { 0, 0, 0 }, { 1, 1, 1 } }; float[][] array2 = { { -2, -2, -2, -2, -2 }, { -1, -1, -1, -1, -1 }, { 0, 0, 0, 0, 0 }, { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, }; float[][] array3 = { { -3, -3, -3, -3, -3, -3, -3 }, { -2, -2, -2, -2, -2, -2, -2 }, { -1, -1, -1, -1, -1, -1, -1 }, { 0, 0, 0, 0, 0, 0, 0 }, { 1, 1, 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3, 3, 3 }, }; if (inicio.size == 7) { y = generalKernel(array3, 7); img = aux; x = generalKernel(arrayc, 7); } else if (inicio.size == 5) { y = generalKernel(array2, 5); img = aux; x = generalKernel(arrayb, 5); } else { y = generalKernel(array, 3); img = aux; x = generalKernel(arraya, 3); } for (int i = 0; i < ancho; i++) { for (int j = 0; j < alto; j++) { int p = x.getRGB(i, j); int p2 = y.getRGB(i, j); //obtenemos el valor r g b a de cada pixel int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; int r2 = (p2 >> 16) & 0xff; int g2 = (p2 >> 8) & 0xff; int b2 = p2 & 0xff; //process int resR = truncate(Math.sqrt(Math.pow(r, 2) + Math.pow(r2, 2))); int resG = truncate(Math.sqrt(Math.pow(g, 2) + Math.pow(g2, 2))); int resB = truncate(Math.sqrt(Math.pow(b, 2) + Math.pow(b2, 2))); //se guarda el rgb p = (resR << 16) | (resG << 8) | resB; img.setRGB(i, j, p); } Change(); } } break; case 19://prewitt x { BufferedImage x; float[][] arraya = { { -1, 0, 1 }, { -1, 0, 1 }, { -1, 0, 1 } }; float[][] arrayb = { { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, { -2, -1, 0, 1, 2 }, }; float[][] arrayc = { { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, { -3, -2, -1, 0, 1, 2, 3 }, }; if (inicio.size == 7) { x = generalKernel(arrayc, 7); } else if (inicio.size == 5) { x = generalKernel(arrayb, 5); } else { x = generalKernel(arraya, 3); } img = x; Change(); } break; case 20://prewitt y { BufferedImage y; float[][] array = { { -1, -1, -1 }, { 0, 0, 0 }, { 1, 1, 1 } }; float[][] array2 = { { -2, -2, -2, -2, -2 }, { -1, -1, -1, -1, -1 }, { 0, 0, 0, 0, 0 }, { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, }; float[][] array3 = { { -3, -3, -3, -3, -3, -3, -3 }, { -2, -2, -2, -2, -2, -2, -2 }, { -1, -1, -1, -1, -1, -1, -1 }, { 0, 0, 0, 0, 0, 0, 0 }, { 1, 1, 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3, 3, 3 }, }; if (inicio.size == 7) { y = generalKernel(array3, 7); } else if (inicio.size == 5) { y = generalKernel(array2, 5); } else { y = generalKernel(array, 3); } img = y; Change(); } break; case 21://Sobel x { BufferedImage x; float[][] arraya = { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } }; float[][] arrayb = { { -5, -4, 0, 4, 5 }, { -8, -10, 0, 10, 8 }, { -10, -20, 0, 20, 10 }, { -8, -10, 0, 10, 8 }, { -5, -4, 0, 4, 5 }, }; float[][] arrayc = { { 3, 2, 1, 0, -1, -2, -3 }, { 4, 3, 2, 0, -2, -3, -4 }, { 5, 4, 3, 0, -3, -4, -5 }, { 6, 5, 4, 0, -4, -5, -6 }, { 5, 4, 3, 0, -3, -4, -5 }, { 4, 3, 2, 0, -2, -3, -4 }, { 3, 2, 1, 0, -1, -2, -3 }, }; if (inicio.size == 7) { x = generalKernel(arrayc, 7); } else if (inicio.size == 5) { x = generalKernel(arrayb, 5); } else { x = generalKernel(arraya, 3); } img = x; Change(); } break; case 22://sobel y { BufferedImage y; float[][] array1 = { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } }; float[][] array2 = { { 5, 8, 10, 8, 5 }, { 4, 10, 20, 10, 4 }, { 0, 0, 0, 0, 0 }, { -4, -10, -20, -10, -4 }, { -5, -8, -10, -8, -5 }, }; float[][] array3 = { { 3, 4, 5, 6, 5, 4, 3 }, { 2, 3, 4, 5, 4, 3, 2 }, { 1, 2, 3, 4, 3, 2, 1 }, { 0, 0, 0, 0, 0, 0, 0 }, { -1, -2, -3, -4, -3, -2, -1 }, { -2, -3, -4, -5, -4, -3, -2 }, { -3, -4, -5, -6, -5, -4, -3 }, }; if (inicio.size == 7) { y = generalKernel(array3, 7); } else if (inicio.size == 5) { y = generalKernel(array2, 5); } else { y = generalKernel(array1, 3); } img = y; Change(); } break; case 23://sobel both { BufferedImage aux = new BufferedImage(ancho, alto, BufferedImage.TYPE_INT_RGB); aux = img; BufferedImage y, x; float[][] arraya = { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } }; float[][] arrayb = { { -5, -4, 0, 4, 5 }, { -8, -10, 0, 10, 8 }, { -10, -20, 0, 20, 10 }, { -8, -10, 0, 10, 8 }, { -5, -4, 0, 4, 5 }, }; float[][] arrayc = { { 3, 2, 1, 0, -1, -2, -3 }, { 4, 3, 2, 0, -2, -3, -4 }, { 5, 4, 3, 0, -3, -4, -5 }, { 6, 5, 4, 0, -4, -5, -6 }, { 5, 4, 3, 0, -3, -4, -5 }, { 4, 3, 2, 0, -2, -3, -4 }, { 3, 2, 1, 0, -1, -2, -3 }, }; float[][] array1 = { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } }; float[][] array2 = { { 5, 8, 10, 8, 5 }, { 4, 10, 20, 10, 4 }, { 0, 0, 0, 0, 0 }, { -4, -10, -20, -10, -4 }, { -5, -8, -10, -8, -5 }, }; float[][] array3 = { { 3, 4, 5, 6, 5, 4, 3 }, { 2, 3, 4, 5, 4, 3, 2 }, { 1, 2, 3, 4, 3, 2, 1 }, { 0, 0, 0, 0, 0, 0, 0 }, { -1, -2, -3, -4, -3, -2, -1 }, { -2, -3, -4, -5, -4, -3, -2 }, { -3, -4, -5, -6, -5, -4, -3 }, }; if (inicio.size == 7) { y = generalKernel(array3, 7); img = aux; x = generalKernel(arrayc, 7); } else if (inicio.size == 5) { y = generalKernel(array2, 5); img = aux; x = generalKernel(arrayb, 5); } else { y = generalKernel(array1, 3); img = aux; x = generalKernel(arraya, 3); } for (int i = 0; i < ancho; i++) { for (int j = 0; j < alto; j++) { int p = x.getRGB(i, j); int p2 = y.getRGB(i, j); //obtenermos el valor r g b a de cada pixel int r = (p >> 16) & 0xff; int g = (p >> 8) & 0xff; int b = p & 0xff; int r2 = (p2 >> 16) & 0xff; int g2 = (p2 >> 8) & 0xff; int b2 = p2 & 0xff; //process int resR = truncate(Math.sqrt(Math.pow(r, 2) + Math.pow(r2, 2))); int resG = truncate(Math.sqrt(Math.pow(g, 2) + Math.pow(g2, 2))); int resB = truncate(Math.sqrt(Math.pow(b, 2) + Math.pow(b2, 2))); //se guarda el rgb p = (resR << 16) | (resG << 8) | resB; img.setRGB(i, j, p); } Change(); } } break; case 24://Gauss { BufferedImage y; float[][] arraya = { { 1 / 16f, 1 / 8f, 1 / 16f }, { 1 / 8f, 1 / 4f, 1 / 8f }, { 1 / 16f, 1 / 8f, 1 / 16f }, }; float[][] arrayb = { { 1 / 273f, 4 / 273f, 7 / 273f, 4 / 273f, 1 / 273f }, { 4 / 273f, 16 / 273f, 26 / 273f, 16 / 273f, 4 / 273f }, { 7 / 273f, 26 / 273f, 41 / 273f, 26 / 273f, 7 / 273f }, { 4 / 273f, 16 / 273f, 26 / 273f, 16 / 273f, 4 / 273f }, { 1 / 273f, 4 / 273f, 7 / 273f, 4 / 273f, 1 / 273f }, }; float[][] arrayc = { { 0.00000067f, 0.00002292f, 0.00019117f, 0.00038771f, 0.00019117f, 0.00002292f, 0.00000067f }, { 0.00002292f, 0.00078634f, 0.00655965f, 0.01330373f, 0.00655965f, 0.00078633f, 0.00002292f }, { 0.00019117f, 0.00655965f, 0.05472157f, 0.11098164f, 0.05472157f, 0.00655965f, 0.00019117f }, { 0.00038771f, 0.01330373f, 0.11098164f, 0.22508352f, 0.11098164f, 0.01330373f, 0.00038771f }, { 0.00019117f, 0.00655965f, 0.05472157f, 0.11098164f, 0.05472157f, 0.00655965f, 0.00019117f }, { 0.00002292f, 0.00078634f, 0.00655965f, 0.01330373f, 0.00655965f, 0.00078633f, 0.00002292f }, { 0.00000067f, 0.00002292f, 0.00019117f, 0.00038771f, 0.00019117f, 0.00002292f, 0.00000067f } }; if (inicio.size == 7) { y = generalKernel(arrayc, 7); } else if (inicio.size == 5) { y = generalKernel(arrayb, 5); } else { y = generalKernel(arraya, 3); } img = y; Change(); } break; case 25: { BufferedImage y; float[][] arraya = { { 1 / 9f, 1 / 9f, 1 / 9f }, { 1 / 9f, 1 / 9f, 1 / 9f }, { 1 / 9f, 1 / 9f, 1 / 9f }, }; float[][] arrayb = { { 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f }, { 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f }, { 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f }, { 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f }, { 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f, 1 / 25f }, }; float[][] arrayc = { { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, { 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f, 1 / 49f }, }; if (inicio.size == 7) { y = generalKernel(arrayc, 7); } else if (inicio.size == 5) { y = generalKernel(arrayb, 5); } else { y = generalKernel(arraya, 3); } img = y; Change(); } break; case 26://sharpen { BufferedImage y; float[][] arraya = { { -1, -1, -1 }, { -1, 9, -1 }, { -1, -1, -1 }, }; float[][] arrayb = { { -1, -1, -1, -1, -1 }, { -1, -1, -1, -1, -1 }, { -1, -1, 26, -1, -1 }, { -1, -1, -1, -1, -1 }, { -1, -1, -1, -1, -1 }, }; float[][] arrayc = { { -1, -1, -1, -1, -1, -1, -1 }, { -1, -2, -2, -2, -2, -2, -1 }, { -1, -2, -3, -3, -3, -2, -1 }, { -1, -2, -3, 81, -3, -2, -1 }, { -1, -2, -3, -3, -3, -2, -1 }, { -1, -2, -2, -2, -2, -2, -1 }, { -1, -1, -1, -1, -1, -1, -1 }, }; if (inicio.size == 7) { y = generalKernel(arrayc, 7); } else if (inicio.size == 5) { y = generalKernel(arrayb, 5); } else { y = generalKernel(arraya, 3); } img = y; Change(); } break; case 27: { kernel = new Kernel(); kernel.show(); kernel.setTitle("Kernel"); kernel.setVisible(true); kernel.setLocationRelativeTo(null); kernel.setResizable(false); kernel.pack(); } break; case 28: //valores { float[][] floatdata = new float[kernel.dim][kernel.dim]; for (int i = 0; i < kernel.dim; i++) { for (int j = 0; j < kernel.dim; j++) { floatdata[i][j] = floatValue(kernel.tableData[i][j]); } } kernel.dispose(); BufferedImage y; y = generalKernel(floatdata, kernel.dim); img = y; Change(); } break; case 29://motion blur { BufferedImage y; float[][] array = { { 1 / 9f, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 1 / 9f, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 1 / 9f, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 1 / 9f, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 1 / 9f, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 1 / 9f, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 1 / 9f, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 1 / 9f, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 1 / 9f }, }; /* float[][] arrayb = { {1/3f, 0, 0}, {0, 1/3f, 0}, {0, 0, 1/3f}, };*/ y = generalKernel(array, 9); img = y; Change(); } break; } //end switch }
From source file:pipeline.GUI_utils.JXTablePerColumnFiltering.java
public void updateRangeOfColumn(int columnIndex, boolean reinitializeSelection, int boundsToUpdate, boolean suppressModelInit) { if (!suppressModelInit) { needToInitializeFilterModel = true; initializeFilterModel();/*from ww w . j ava 2 s.co m*/ } boolean isFloat = model.getValueAt(0, columnIndex) instanceof Float; boolean isDouble = model.getValueAt(0, columnIndex) instanceof Double; boolean isInteger = model.getValueAt(0, columnIndex) instanceof Integer; boolean isSpreadsheetCell = model.getValueAt(0, columnIndex) instanceof SpreadsheetCell; if (!(isFloat || isInteger || isSpreadsheetCell || isDouble)) return; double min = Double.MAX_VALUE; double max = Double.MIN_VALUE; double[] valuesForHistogram = new double[model.getRowCount()]; for (int i = 0; i < model.getRowCount(); i++) { double value; if (isFloat) value = (Float) model.getValueAt(i, columnIndex); else if (isDouble) value = (Double) model.getValueAt(i, columnIndex); else if (isInteger) value = (Integer) model.getValueAt(i, columnIndex); else { value = ((SpreadsheetCell) model.getValueAt(i, columnIndex)).getFloatValue(); } if (Double.isNaN(value)) value = 0.0d; if (value < min) min = value; if (value > max) max = value; valuesForHistogram[i] = value; } // Now compute a histogram; this could be optimized HistogramDataset dataset = new HistogramDataset(); dataset.setType(HistogramType.RELATIVE_FREQUENCY); dataset.addSeries("Histogram", valuesForHistogram, 15); if (isFloat || isDouble || isSpreadsheetCell) { FloatRangeParameter param = (FloatRangeParameter) filteringModel.getValueAt(0, columnIndex); param.histogram = dataset; float[] currentValue = (float[]) param.getValue(); if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == LOWER_BOUND) currentValue[2] = (float) min; if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == UPPER_BOUND) currentValue[3] = (float) max; if (reinitializeSelection) { currentValue[0] = currentValue[2]; currentValue[1] = currentValue[3]; } param.setValueFireIfAppropriate(currentValue, false, true, true); } else { IntRangeParameter param = (IntRangeParameter) filteringModel.getValueAt(0, columnIndex); int[] currentValue = (int[]) param.getValue(); if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == LOWER_BOUND) currentValue[2] = (int) min; if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == UPPER_BOUND) currentValue[3] = (int) max; if (reinitializeSelection) { currentValue[0] = currentValue[2]; currentValue[1] = currentValue[3]; } param.setValueFireIfAppropriate(currentValue, false, true, true); } }