public static PointCloud rasterToPointCloud(Raster r, int dimx, int dimy, int dim) {
PointCloud res = null;
for (int j = 0; j < dimy; j++)
for (int i = 0; i < dimx; i++) {
int[] pix = new int[3];
r.getPixel(i, j, pix);
// System.out.println("pix = [" + pix[0] + " " + pix[1] + " "
// + pix[2] + "]");
// convert pixel to L*u*v*
float[] pixluv = new float[3];
ImageManipulation.rgb2luv(pix[0], pix[1], pix[2], pixluv);
double[] coord;
if (dim == 3) {
coord = new double[3];
coord[0] = pixluv[0];
coord[1] = pixluv[1];
coord[2] = pixluv[2];
} else if (dim == 5) {
coord = new double[5];
coord[0] = (double) i;
coord[1] = (double) j;
coord[2] = pixluv[0];
coord[3] = pixluv[1];
coord[4] = pixluv[2];
} else throw new RuntimeException("Bad dimension!");
res = new PointCloud(new Point_D(coord), res, true);
}
return res;
}
static void assignColors(int n, Point_D[] clusterCenters, Color[] cols) {
// In this version, assign the center's color to each cluster
for (int i = 0; i < n && clusterCenters[i] != null; i++) {
int dim = clusterCenters[i].dimension();
float[] pixluv = {
(float) clusterCenters[i].getCartesian(dim - 3).doubleValue(),
(float) clusterCenters[i].getCartesian(dim - 2).doubleValue(),
(float) clusterCenters[i].getCartesian(dim - 1).doubleValue()
};
int[] pix = ImageManipulation.luv2rgb(pixluv[0], pixluv[1], pixluv[2]);
cols[i] = new Color(pix[0], pix[1], pix[2]);
}
}
public static void testLoadingImage(String[] args) {
System.out.println("Loading image data: ex 0");
if (args.length < 1) {
System.out.println("Usage: java ImageManipulation image");
System.exit(0);
}
// load input image
BufferedImage bimg = ImageManipulation.loadImage(args[0]);
int dimx = bimg.getWidth();
int dimy = bimg.getHeight();
// get array of pixels from image, in L*u*v* space
WritableRaster raster = bimg.getRaster();
System.out.println("Pixels array created from image");
// build point cloud from raster
int dim = 3;
PointCloud N = ImageManipulation.rasterToPointCloud(raster, dimx, dimy, dim);
// draw input image and corresponding point cloud
System.out.println("dim = " + dim + ", size = " + PointCloud.size(N));
Draw.draw3D(N);
Fenetre fInput = new Fenetre(bimg, "input image");
}
