public void test01() throws java.lang.Exception {
final File imageFile = new File("test/data/clown24.png");
final double tolerance = 0.01;
final double[][] expectedCenters = {
{182.389, 108.690, 45.733},
{224.589, 187.087, 151.137},
{115.623, 51.116, 20.329},
{30.557, 10.600, 5.617},
};
assertTrue("File exists", imageFile.exists());
// Read test image
final ImagePlus imp = IOUtils.openImage(imageFile);
if (imp.getType() != ImagePlus.COLOR_RGB) {
throw new java.lang.Exception("Expecting color image.");
}
// Convert RGB to a stack
final ImageConverter ic = new ImageConverter(imp);
ic.convertToRGBStack();
final StackConverter sc = new StackConverter(imp);
sc.convertToGray32();
final KMeans.Config config = new KMeans.Config();
config.setNumberOfClusters(4);
config.setRandomizationSeedEnabled(true);
config.setRandomizationSeed(31415);
final KMeans kmeans = new KMeans(config);
final ImageProcessor ip = kmeans.run(imp.getStack());
assertNotNull(ip);
float[][] centers = kmeans.getClusterCenters();
for (int i = 0; i < centers.length; i++) {
for (int j = 0; j < centers[i].length; j++) {
assertEquals(
"center[" + i + "][" + j + "]", expectedCenters[i][j], centers[i][j], tolerance);
}
}
// final ImagePlus imp1 = new ImagePlus("K-means", ip);
// final FileSaver saver = new FileSaver(imp1);
// saver.saveAsTiff("kmeans-output.tif");
}
/**
* Creates an @link{ImageStack} by converting an @link{ImagePlus} object Duplicate of a method
* in @link{KmeansClusteringPlugin}
*
* @param src the @link{ImagePlus} object to convert
* @return an @link{ImageStack} object containing the
*/
private static ImageStack convertToFloatStack(final ImagePlus src) {
final ImagePlus imp = duplicate(src);
// Remember scaling setup
final boolean doScaling = ImageConverter.getDoScaling();
try {
// Disable scaling
ImageConverter.setDoScaling(false);
if (imp.getType() == ImagePlus.COLOR_RGB) {
if (imp.getStackSize() > 1) {
throw new RuntimeException("Unsupported image type: stack of COLOR_RGB");
}
final ImageConverter converter = new ImageConverter(imp);
converter.convertToRGBStack();
}
if (imp.getStackSize() > 1) {
final StackConverter converter = new StackConverter(imp);
converter.convertToGray32();
} else {
final ImageConverter converter = new ImageConverter(imp);
converter.convertToGray32();
}
// FIXME: make sure that there are no memory leaks
// imp.flush();
return imp.getStack();
} finally {
// Restore original scaling option
ImageConverter.setDoScaling(doScaling);
}
}