public int[] Calculate(Image image)
{
int length = image.Rows - m_max_filter_width + 1;
if (length <= 0)
{
//DEBUG() << "Chromaprint::FingerprintCalculator::Calculate() -- Not "
// << "enough data. Image has " << image.NumRows() << " rows, "
// << "needs at least " << m_max_filter_width << " rows.\n";
return null;
}
IntegralImage integral_image = new IntegralImage(image);
var fingerprint = new int[length];
for (int i = 0; i < length; i++)
{
fingerprint[i] = CalculateSubfingerprint(integral_image, i);
}
return fingerprint;
}
public void TestCalculate()
{
Image image = new Image(2, 3);
image[0, 0] = 0.0;
image[0, 1] = 1.0;
image[1, 0] = 2.0;
image[1, 1] = 3.0;
image[2, 0] = 4.0;
image[2, 1] = 5.0;
Classifier[] classifiers = {
new Classifier(new Filter(0, 0, 1, 1), new Quantizer(0.01, 1.01, 1.5)),
};
FingerprintCalculator calculator = new FingerprintCalculator(classifiers);
int[] fp = calculator.Calculate(image);
Assert.AreEqual(3, fp.Length);
Assert.AreEqual(TestsHelper.GrayCode(0), fp[0]);
Assert.AreEqual(TestsHelper.GrayCode(2), fp[1]);
Assert.AreEqual(TestsHelper.GrayCode(3), fp[2]);
}