image_processing/image_demo.cpp

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image_processing/image_demo.cpp
/*******************************************************
* Copyright (c) 2014, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <stdio.h>
#include <arrayfire.h>
#include <cstdlib>
using namespace af;
// Split a MxNx3 image into 3 separate channel matrices.
static void channel_split(array& rgb, array& outr, array& outg, array& outb) {
outr = rgb(span, span, 0);
outg = rgb(span, span, 1);
outb = rgb(span, span, 2);
}
// 5x5 sigma-3 gaussian blur weights
static const float h_gauss[] = {
0.0318, 0.0375, 0.0397, 0.0375, 0.0318,
0.0375, 0.0443, 0.0469, 0.0443, 0.0375,
0.0397, 0.0469, 0.0495, 0.0469, 0.0397,
0.0375, 0.0443, 0.0469, 0.0443, 0.0375,
0.0318, 0.0375, 0.0397, 0.0375, 0.0318,
};
// 3x3 sobel weights
static const float h_sobel[] = {
-2.0, -1.0, 0.0,
-1.0, 0.0, 1.0,
0.0, 1.0, 2.0
};
// Demonstrates various image manipulations.
static void img_test_demo(bool console)
{
af::Window wnd("Image Demo");
// load convolution kernels
array gauss_k = array(5, 5, h_gauss);
array sobel_k = array(3, 3, h_sobel);
// load images
array img_gray = loadImage(ASSETS_DIR "/examples/images/trees_ctm.jpg", false); // 1 channel grayscale [0-255]
array img_rgb = loadImage(ASSETS_DIR "/examples/images/sunset_emp.jpg", true) / 255.f; // 3 channel RGB [0-1]
array rotatedImg = rotate(img_gray, Pi / 2, false)/255.f;
//array thrs_img = (img_gray < 130.f).as(s32);
array thrs_img = (img_gray<130.f).as(f32);
// rgb channels
array rr, gg, bb;
channel_split(img_rgb, rr, gg, bb);
// hsv channels
array hsv = colorSpace(img_rgb, AF_HSV, AF_RGB);
array hh, ss, vv;
channel_split(hsv, hh, ss, vv);
// image histogram equalization
array ihist = histogram(img_gray, 256, 0, 255);
array inorm = histEqual(img_gray, ihist)/255.f;
array edge_det = abs(convolve(img_gray, sobel_k))/255.f;
array smt = convolve(img_gray, gauss_k)/255.f;
while (!wnd.close()) {
wnd.grid(2, 4);
// image operations
wnd(0, 0).image(img_rgb, "Input Image");
wnd(1, 0).image(rotatedImg, "Rotate");
wnd(0, 1).image(ss, "Saturation");
wnd(1, 1).image(bb, "Blue Channel");
wnd(0, 2).image(smt, "Smoothing");
wnd(1, 2).image(thrs_img, "Binary Thresholding");
wnd(0, 3).image(inorm, "Histogram Equalization");
wnd(1, 3).image(edge_det, "Edge Detection");
wnd.show();
}
}
int main(int argc, char** argv)
{
int device = argc > 1 ? atoi(argv[1]) : 0;
bool console = argc > 2 ? argv[2][0] == '-' : false;
try {
af::setDevice(device);
af::info();
printf("** ArrayFire Image Demo **\n\n");
img_test_demo(console);
} catch (af::exception& e) {
fprintf(stderr, "%s\n", e. what());
throw;
}
return 0;
}