OpenCV_4.2.0/opencv_contrib-4.2.0/modules/ximgproc/samples/graphsegmentation_demo.cpp

152 lines
4.6 KiB
C++

/*
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license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
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This software is provided by the copyright holders and contributors "as is" and
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*/
#include "opencv2/ximgproc/segmentation.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace cv::ximgproc::segmentation;
Scalar hsv_to_rgb(Scalar);
Scalar color_mapping(int);
static void help() {
std::cout << std::endl <<
"A program demonstrating the use and capabilities of a particular graph based image" << std::endl <<
"segmentation algorithm described in P. Felzenszwalb, D. Huttenlocher," << std::endl <<
" \"Efficient Graph-Based Image Segmentation\"" << std::endl <<
"International Journal of Computer Vision, Vol. 59, No. 2, September 2004" << std::endl << std::endl <<
"Usage:" << std::endl <<
"./graphsegmentation_demo input_image output_image [simga=0.5] [k=300] [min_size=100]" << std::endl;
}
Scalar hsv_to_rgb(Scalar c) {
Mat in(1, 1, CV_32FC3);
Mat out(1, 1, CV_32FC3);
float * p = in.ptr<float>(0);
p[0] = (float)c[0] * 360.0f;
p[1] = (float)c[1];
p[2] = (float)c[2];
cvtColor(in, out, COLOR_HSV2RGB);
Scalar t;
Vec3f p2 = out.at<Vec3f>(0, 0);
t[0] = (int)(p2[0] * 255);
t[1] = (int)(p2[1] * 255);
t[2] = (int)(p2[2] * 255);
return t;
}
Scalar color_mapping(int segment_id) {
double base = (double)(segment_id) * 0.618033988749895 + 0.24443434;
return hsv_to_rgb(Scalar(fmod(base, 1.2), 0.95, 0.80));
}
int main(int argc, char** argv) {
if (argc < 2 || argc > 6) {
help();
return -1;
}
Ptr<GraphSegmentation> gs = createGraphSegmentation();
if (argc > 3)
gs->setSigma(atof(argv[3]));
if (argc > 4)
gs->setK((float)atoi(argv[4]));
if (argc > 5)
gs->setMinSize(atoi(argv[5]));
if (!gs) {
std::cerr << "Failed to create GraphSegmentation Algorithm." << std::endl;
return -2;
}
Mat input, output, output_image;
input = imread(argv[1]);
if (!input.data) {
std::cerr << "Failed to load input image" << std::endl;
return -3;
}
gs->processImage(input, output);
double min, max;
minMaxLoc(output, &min, &max);
int nb_segs = (int)max + 1;
std::cout << nb_segs << " segments" << std::endl;
output_image = Mat::zeros(output.rows, output.cols, CV_8UC3);
uint* p;
uchar* p2;
for (int i = 0; i < output.rows; i++) {
p = output.ptr<uint>(i);
p2 = output_image.ptr<uchar>(i);
for (int j = 0; j < output.cols; j++) {
Scalar color = color_mapping(p[j]);
p2[j*3] = (uchar)color[0];
p2[j*3 + 1] = (uchar)color[1];
p2[j*3 + 2] = (uchar)color[2];
}
}
imwrite(argv[2], output_image);
std::cout << "Image written to " << argv[2] << std::endl;
return 0;
}