Exemplo n.º 1
0
  private synchronized void computeHistogram(Rectangle visibleRect, PlanarImage image) {
    int channels = image.getSampleModel().getNumBands();

    Histogram hist = new Histogram(256, 256, 512, channels);

    bins = hist.getBins();

    // Raster raster = image.getData(visibleRect);
    Rectangle bounds = visibleRect; // image.getBounds();
    int pixel[] = null;

    int maxPixels = 256;
    int incX = bounds.width >= 2 * maxPixels ? bounds.width / maxPixels : 1;
    int incY = bounds.height >= 2 * maxPixels ? bounds.height / maxPixels : 1;

    double log2 = Math.log(2);

    int minTileX = image.XToTileX(bounds.x);
    int maxTileX = image.XToTileX(bounds.x + bounds.width - 1);
    int minTileY = image.YToTileY(bounds.y);
    int maxTileY = image.YToTileY(bounds.y + bounds.height - 1);

    for (int tx = minTileX; tx <= maxTileX; tx++)
      for (int ty = minTileY; ty <= maxTileY; ty++) {
        Raster raster = image.getTile(tx, ty);

        int minX = Math.max(bounds.x, raster.getMinX());
        int maxX = Math.min(bounds.x + bounds.width, raster.getMinX() + raster.getWidth());
        int minY = Math.max(bounds.y, raster.getMinY());
        int maxY = Math.min(bounds.y + bounds.height, raster.getMinY() + raster.getHeight());

        for (int x = minX; x < maxX; x += incX)
          for (int y = minY; y < maxY; y += incY) {
            pixel = raster.getPixel(x, y, pixel);
            for (int c = 0; c < channels; c++) {
              int v = (int) (511 * logTable[pixel[c]] / (16 * log2));
              if (v > 255) bins[c][v - 256]++;
              else bins[c][0]++;
            }
          }
      }

    bins = hist.getBins();
  }
Exemplo n.º 2
0
  private BufferedImage cropScaleGrayscale(Rectangle visibleRect, RenderedImage image) {
    int minX = image.getMinX();
    int minY = image.getMinY();
    int width = image.getWidth();
    int height = image.getHeight();

    Rectangle bounds = new Rectangle(minX, minY, width, height);

    visibleRect = bounds.intersection(visibleRect);

    if (bounds.contains(visibleRect)) {
      ParameterBlock pb = new ParameterBlock();
      pb.addSource(image);
      pb.add((float) visibleRect.x);
      pb.add((float) visibleRect.y);
      pb.add((float) visibleRect.width);
      pb.add((float) visibleRect.height);
      image = JAI.create("Crop", pb, JAIContext.noCacheHint);
    }
    Dimension previewSize = getSize();

    if ((visibleRect.width > previewSize.width) || (visibleRect.height > previewSize.height)) {
      float scale =
          Math.min(
              previewSize.width / (float) visibleRect.width,
              previewSize.height / (float) visibleRect.height);

      image = ConvolveDescriptor.create(image, Functions.getGaussKernel(.25 / scale), null);
      ParameterBlock pb = new ParameterBlock();
      pb.addSource(image);
      pb.add(scale);
      pb.add(scale);
      image = JAI.create("Scale", pb, JAIContext.noCacheHint);
    }
    image = Functions.toColorSpace(image, JAIContext.systemColorSpace, null);

    if (image.getSampleModel().getDataType() == DataBuffer.TYPE_USHORT) {
      image = Functions.fromUShortToByte(image, null);
    }
    return Functions.toFastBufferedImage(image);
  }