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 <arrayfire.h>
#include <stdio.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[] = {
    0.0318f, 0.0375f, 0.0397f, 0.0375f, 0.0318f, 0.0375f, 0.0443f,
    0.0469f, 0.0443f, 0.0375f, 0.0397f, 0.0469f, 0.0495f, 0.0469f,
    0.0397f, 0.0375f, 0.0443f, 0.0469f, 0.0443f, 0.0375f, 0.0318f,
    0.0375f, 0.0397f, 0.0375f, 0.0318f,
};
 
// 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() {
    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;
 
    try {
        af::setDevice(device);
        af::info();
        printf("** ArrayFire Image Demo **\n\n");
        img_test_demo();
 
    } catch (af::exception& e) {
        fprintf(stderr, "%s\n", e.what());
        throw;
    }
 
    return 0;
}