/**
* Start the mosaic generation, called from GUI.
*
* @param image Image to apply mosaic to.
* @param density Magnitude of density of points in distribution.
* @param type Type of distribution, Random or Uniform.
* @param pointsOnly Whether to show only distribution points.
*/
public void start(BufferedImage image, int density, String type, boolean pointsOnly) {
// numPoints calculations are based on the idea of the fractional area
// the fractional area is the theoretical area surrounding a uniform
// distribution of points in the area of the image. The number represents
// dividing the area of the image by the number of points distributed
// in the area. By dividing area by the fractional area, you get the number
// of points needed to achieve that density. fractional area ranges from
// ~250 to 2500
double fractionalArea = 0;
if (density >= 1 && density <= 5) {
fractionalArea = 2500 - (FRAC_AREA_STEP * (density - 1));
} else {
fractionalArea = DEFAULT_FRAC_AREA;
}
if (type.equalsIgnoreCase("RANDOM")) {
// determine number of points as whole area / frac area
int numPoints = (int) (image.getWidth() * image.getHeight() / fractionalArea);
PlotTree tree = new RandomPlot(numPoints, image.getWidth(), image.getHeight());
tesselation = new Tesselation(image, tree);
// in the case of the poisson disc distribution, we want to determine density
// as the distance between points. this is approximated by taking the square root
// of the fractionalArea, because that approximates the distance between points
// in a hypothetical distribution. The full transformation is:
// numPoints = sqrt(w*h)/sqrt(w*h/fracArea)
// numPoints^2 = w*h/(w*h/fracArea)
// numPoints^2 = fracArea
// numPoints = sqrt(fracArea)
} else if (type.equalsIgnoreCase("UNIFORM")) {
int numPoints = (int) Math.sqrt(fractionalArea);
PlotTree tree = new PoissonPlot(numPoints, image.getWidth(), image.getHeight());
tesselation = new Tesselation(image, tree);
}
tesselation.createDistribution();
// Apply the distribution data either as a mosaic or points
if (pointsOnly) {
tesselation.drawPoints(Color.WHITE.getRGB());
} else {
tesselation.applyMosaic();
}
// free up resources and reset for another run
// cleanUp();
}
/**
* To run after completing a run of processing. Nulls references to the data structures to save
* space and prepare for another run.
*
* <p>Consider removing this and all cleanup code or improving
*/
private void cleanUp() {
tesselation.cleanUp();
tesselation = null;
}
