#include <cmath>
#include <cstdio>
#include <cstdlib>
{
return ((in<
min)*0.0f + (in>
max)*255.0f + (in >=
min && in <=
max)*in);
}
array hurl(
const array &in,
int randomization,
int repeat)
{
float f = randomization / 100.0f;
int dim = (int)(f*w*h);
for (int i = 0; i<repeat; ++i) {
temp(idxs, 0) = rndR;
temp(idxs, 1) = rndG;
temp(idxs, 2) = rndB;
}
return ret_val;
}
array getRandomNeighbor(
const array &in,
int windW,
int windH)
{
}
array spread(
const array &in,
int window_width,
int window_height)
{
return getRandomNeighbor(in, window_width, window_height);
}
array pick(
const array &in,
int randomization,
int repeat)
{
float f = randomization / 100.0f;
int dim = (int)(f*w*h);
for (int i = 0; i<repeat; ++i) {
array rnd = getRandomNeighbor(ret_val, 1, 1);
temp_dst(idxs,
span) = temp_src(idxs,
span);
}
return ret_val;
}
{
static float h1[] = { 1, 1, 1 };
static float h2[] = { -1, 0, 1 };
}
{
}
void normalizeImage(
array &in)
{
float min = af::min<float>(in);
float max = af::max<float>(in);
in = 255.0f*((in -
min) / (max - min));
}
array DifferenceOfGaussian(
const array &in,
int window_radius1,
int window_radius2)
{
int w1 = 2 * window_radius1 + 1;
int w2 = 2 * window_radius2 + 1;
normalizeImage(ret_val);
return ret_val;
}
array medianfilter(
const array &in,
int window_width,
int window_height)
{
return ret_val;
}
array gaussianblur(
const array &in,
int window_width,
int window_height,
double sigma)
{
}
array emboss(
const array &input,
float azimuth,
float elevation,
float depth)
{
if (depth<1 || depth>100) {
printf("Depth should be in the range of 1-100");
return input;
}
static float x[3] = { -1, 0, 1 };
else
in = input;
float phi = elevation*
af::Pi / 180.0f;
float theta = azimuth*
af::Pi / 180.0f;
float pos[3];
pos[0] = 255.99f *
cos(phi)*
cos(theta);
pos[1] = 255.99f *
cos(phi)*
sin(theta);
pos[2] = 255.99f *
sin(phi);
float pxlz = (6 * 255.0f) / depth;
array vdot = gx*pos[0] + gy*pos[1] + pxlz*pos[2];
array outwd = vdot < 0.0f;
array color = outwd * 0.0f + (1 - outwd) * norm;
return color;
}
int main(int argc, char **argv)
{
try {
int device = argc > 1 ? atoi(argv[1]) : 0;
array img =
loadImage(ASSETS_DIR
"/examples/images/vegetable-woman.jpg",
true);
array prew_mag, prew_dir;
prewitt(prew_mag, prew_dir, img1ch);
sobelFilter(sob_mag, sob_dir, img1ch);
array sprd = spread(img, 3, 3);
array hrl = hurl(img, 10, 1);
array pckng = pick(img, 40, 2);
array difog = DifferenceOfGaussian(img, 1, 2);
array mf = medianfilter(hrl, 5, 5);
array gb = gaussianblur(hrl, 3, 3, 0.8);
array emb = emboss(img, 45, 20, 10);
std::cout << "Press ESC while the window is in focus to exit" << std::endl;
wnd(0, 0).
image(hrl / 255,
"Hurl noise");
wnd(1, 0).
image(gb / 255,
"Gaussian blur");
wnd(0, 1).
image(bil / 255,
"Bilateral filter on hurl noise");
wnd(1, 1).
image(mf / 255,
"Median filter on hurl noise");
wnd(0, 2).
image(prew_mag / 255,
"Prewitt edge filter");
wnd(1, 2).
image(sob_mag / 255,
"Sobel edge filter");
wnd(0, 3).
image(sprd / 255,
"Spread filter");
wnd(1, 3).
image(pckng / 255,
"Pick filter");
wnd(0, 4).
image(difog / 255,
"Difference of gaussians(3x3 and 5x5)");
wnd(1, 4).
image(emb / 255,
"Emboss effect");
}
}
fprintf(stderr,
"%s\n", e.
what());
throw;
}
return 0;
}