#include <stdio.h>
#include <cstdlib>
static const unsigned ITERS = 64;
{
float mx = max<float>(p_in);
float mn = min<float>(p_in);
return (p_in-mn)/(mx-mn);
}
{
int w = 5;
if (p_in.
dims(0) < 512) w = 3;
if (p_in.
dims(0) > 2048) w = 7;
int h = 5;
if (p_in.
dims(0) < 512) h = 3;
if (p_in.
dims(0) > 2048) h = 7;
for (unsigned i=1; i<ITERS; ++i)
sobel(Gx, Gy, smooth, 3);
return normalize(
hypot(Gx, Gy));
}
array in, edges, smoothed;
void anisotropicSmoothing()
{
}
int main(int argc, char* argv[])
{
int device = argc > 1 ? atoi(argv[1]) : 0;
try {
printf("** ArrayFire Gradient Anisotropic Smoothing Demo **\n");
Window myWindow(
"Gradient Anisotropic Smoothing");
in =
loadImage(ASSETS_DIR
"/examples/images/man.jpg",
false);
array sEdges = sobelFilter(in);
anisotropicSmoothing();
sobel(Gx, Gy, smoothed, 3);
edges = normalize(
hypot(Gx, Gy));
while(!myWindow.close()) {
myWindow.grid(2, 2);
myWindow(0, 0) .image(in/255.0f , "Input Image" );
myWindow(0, 1) .image(normalize(smoothed), "Anisotropically smooted Input" );
myWindow(1, 0) .image(normalize(sEdges) , "Gradient Magnitude after gaussian blur t=64");
myWindow(1, 1) .image(normalize(edges) , "Gradient Magnitude after diffusion t=64");
myWindow.show();
}
printf("\nAnisotropic Diffusion avg runtime for current image in Seconds: %g\n",
timeit(anisotropicSmoothing));
fprintf(stderr,
"%s\n", e.
what());
throw;
}
return 0;
}