#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) smooth =
convolve(smooth, ker);
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(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");
}
printf(
"\nAnisotropic Diffusion avg runtime for current image in Seconds: "
"%g\n",
timeit(anisotropicSmoothing));
fprintf(stderr,
"%s\n", e.
what());
throw;
}
return 0;
}