#include <cmath>
#include <cstdio>
#include <cstdlib>
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);
}
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;
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);
printf("Press ESC while the window is in focus to exit\n");
while (!wnd.close()) {
wnd.grid(2, 5);
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");
wnd.show();
}
fprintf(stderr,
"%s\n", e.
what());
throw;
}
return 0;
}