How to use

DoG

method

in

net.imglib2.algorithm.dog.DifferenceOfGaussian

  isoSigma2[ d ] = sigma2 * scaleFactor[ d ];
DifferenceOfGaussian.DoG( isoSigma1, isoSigma2, mirrorImg, image2, exe );

  isoSigma2[ d ] = sigma2 * scaleFactor[ d ];
DifferenceOfGaussian.DoG( isoSigma1, isoSigma2, mirrorImg, image2, exe );

final long[] translation = new long[ dog.numDimensions() ];
dog.min( translation );
DoG( sigmaSmaller, sigmaLarger, input, Views.translate( g1, translation ), dog, service );

@Test
public void dogRAITest() {
  final double[] sigmas1 = new double[] { 1, 1 };
  final double[] sigmas2 = new double[] { 2, 2 };
  final long[] dims = new long[] { 10, 10 };
  final Img<ByteType> in = generateByteArrayTestImg(true, dims);
  final Img<ByteType> out1 = generateByteArrayTestImg(false, dims);
  final Img<ByteType> out2 = generateByteArrayTestImg(false, dims);
  ops.run(DoGVaryingSigmas.class, out1, in, sigmas1, sigmas2);
  // test against native imglib2 implementation
  DifferenceOfGaussian.DoG(sigmas1, sigmas2, Views.extendMirrorSingle(in),
    out2, Executors.newFixedThreadPool(10));
  final Cursor<ByteType> out1Cursor = out1.cursor();
  final Cursor<ByteType> out2Cursor = out2.cursor();
  while (out1Cursor.hasNext()) {
    org.junit.Assert.assertEquals(out1Cursor.next().getRealDouble(),
      out2Cursor.next().getRealDouble(), 0);
  }
}