#include <stdio.h>
#include <cstdlib>
static const unsigned ITERS = 64;
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.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;
}
Window object to render af::arrays.
A multi dimensional data container.
dim4 dims() const
Get dimensions of the array.
An ArrayFire exception class.
virtual const char * what() const
Returns an error message for the exception in a string format.
array hypot(const array &lhs, const array &rhs)
C++ Interface to calculate the length of the hypotenuse of two inputs.
void setDevice(const int device)
Sets the current device.
array anisotropicDiffusion(const af::array &in, const float timestep, const float conductance, const unsigned iterations, const fluxFunction fftype=AF_FLUX_EXPONENTIAL, const diffusionEq diffusionKind=AF_DIFFUSION_GRAD)
C++ Interface for gradient anisotropic(non-linear diffusion) smoothing.
array gaussianKernel(const int rows, const int cols, const double sig_r=0, const double sig_c=0)
C++ Interface for generating gausian kernels.
void sobel(array &dx, array &dy, const array &img, const unsigned ker_size=3)
C++ Interface for extracting sobel gradients.
array loadImage(const char *filename, const bool is_color=false)
C++ Interface for loading an image.
array max(const array &in, const int dim=-1)
C++ Interface to return the maximum along a given dimension.
array min(const array &in, const int dim=-1)
C++ Interface to return the minimum along a given dimension.
array convolve(const array &signal, const array &filter, const convMode mode=AF_CONV_DEFAULT, const convDomain domain=AF_CONV_AUTO)
C++ Interface for convolution any(one through three) dimensional signals.
double timeit(void(*fn)())