private void apply_filter_twice(KpmImage dst, KpmImage src)
{
KpmImage tmp = new KpmImage(src.getWidth(), src.getHeight());
apply_filter(tmp, src);
apply_filter(dst, tmp);
}
/**
* Compute the difference image.
*
* d = im1 - im2
*/
public void difference_image_binomial(KpmImage im1, KpmImage im2)
{
// Compute diff
double[] p0 = (double[])this.getBuffer();
double[] p1 = (double[])im1.getBuffer();
double[] p2 = (double[])im2.getBuffer();
for (int i = im1.getWidth() * im1.getHeight() - 1; i >= 0; i--)
{
p0[i] = p1[i] - p2[i];
}
return;
}
/**
* Sample a receptor given (x,y,octave,scale) and a pyramid.
*/
private double SampleReceptor(GaussianScaleSpacePyramid pyramid, double x, double y, int octave, int scale)
{
// Get the correct image from the pyramid
KpmImage image = pyramid.get(octave, scale);
double a = 1.0f / (1 << octave);
double b = 0.5f * a - 0.5f;
return(image.bilinearInterpolation(ClipScalar(x * a + b, 0, image.getWidth() - 2), ClipScalar(y * a + b, 0, image.getHeight() - 2)));
}
private void apply_filter(KpmImage dst, KpmImage src)
{
binomial_4th_order(
(double[])dst.getBuffer(), this.mTemp_f32_1, (double[])src.getBuffer(), src.getWidth(), src.getHeight());
}
