1 /*
2 By downloading, copying, installing or using the software you agree to this
3 license. If you do not agree to this license, do not download, install,
4 copy or use the software.
5 License Agreement
6 For Open Source Computer Vision Library
7 (3-clause BSD License)
8 Copyright (C) 2013, OpenCV Foundation, all rights reserved.
9 Third party copyrights are property of their respective owners.
10 Redistribution and use in source and binary forms, with or without modification,
11 are permitted provided that the following conditions are met:
12 * Redistributions of source code must retain the above copyright notice,
13 this list of conditions and the following disclaimer.
14 * Redistributions in binary form must reproduce the above copyright notice,
15 this list of conditions and the following disclaimer in the documentation
16 and/or other materials provided with the distribution.
17 * Neither the names of the copyright holders nor the names of the contributors
18 may be used to endorse or promote products derived from this software
19 without specific prior written permission.
20 This software is provided by the copyright holders and contributors "as is" and
21 any express or implied warranties, including, but not limited to, the implied
22 warranties of merchantability and fitness for a particular purpose are
23 disclaimed. In no event shall copyright holders or contributors be liable for
24 any direct, indirect, incidental, special, exemplary, or consequential damages
25 (including, but not limited to, procurement of substitute goods or services;
26 loss of use, data, or profits; or business interruption) however caused
27 and on any theory of liability, whether in contract, strict liability,
28 or tort (including negligence or otherwise) arising in any way out of
29 the use of this software, even if advised of the possibility of such damage.
30 */
31
32
33 #include "opencv2/ximgproc/segmentation.hpp"
34 #include "opencv2/highgui.hpp"
35 #include "opencv2/core.hpp"
36 #include "opencv2/imgproc.hpp"
37 #include <iostream>
38
39 using namespace cv;
40 using namespace cv::ximgproc::segmentation;
41
42 Scalar hsv_to_rgb(Scalar);
43 Scalar color_mapping(int);
44
help()45 static void help() {
46 std::cout << std::endl <<
47 "A program demonstrating the use and capabilities of a particular graph based image" << std::endl <<
48 "segmentation algorithm described in P. Felzenszwalb, D. Huttenlocher," << std::endl <<
49 " \"Efficient Graph-Based Image Segmentation\"" << std::endl <<
50 "International Journal of Computer Vision, Vol. 59, No. 2, September 2004" << std::endl << std::endl <<
51 "Usage:" << std::endl <<
52 "./graphsegmentation_demo input_image output_image [simga=0.5] [k=300] [min_size=100]" << std::endl;
53 }
54
hsv_to_rgb(Scalar c)55 Scalar hsv_to_rgb(Scalar c) {
56 Mat in(1, 1, CV_32FC3);
57 Mat out(1, 1, CV_32FC3);
58
59 float * p = in.ptr<float>(0);
60
61 p[0] = (float)c[0] * 360.0f;
62 p[1] = (float)c[1];
63 p[2] = (float)c[2];
64
65 cvtColor(in, out, COLOR_HSV2RGB);
66
67 Scalar t;
68
69 Vec3f p2 = out.at<Vec3f>(0, 0);
70
71 t[0] = (int)(p2[0] * 255);
72 t[1] = (int)(p2[1] * 255);
73 t[2] = (int)(p2[2] * 255);
74
75 return t;
76
77 }
78
color_mapping(int segment_id)79 Scalar color_mapping(int segment_id) {
80
81 double base = (double)(segment_id) * 0.618033988749895 + 0.24443434;
82
83 return hsv_to_rgb(Scalar(fmod(base, 1.2), 0.95, 0.80));
84
85 }
86
main(int argc,char ** argv)87 int main(int argc, char** argv) {
88
89 if (argc < 2 || argc > 6) {
90 help();
91 return -1;
92 }
93
94 Ptr<GraphSegmentation> gs = createGraphSegmentation();
95
96 if (argc > 3)
97 gs->setSigma(atof(argv[3]));
98
99 if (argc > 4)
100 gs->setK((float)atoi(argv[4]));
101
102 if (argc > 5)
103 gs->setMinSize(atoi(argv[5]));
104
105 if (!gs) {
106 std::cerr << "Failed to create GraphSegmentation Algorithm." << std::endl;
107 return -2;
108 }
109
110 Mat input, output, output_image;
111
112 input = imread(argv[1]);
113
114 if (!input.data) {
115 std::cerr << "Failed to load input image" << std::endl;
116 return -3;
117 }
118
119 gs->processImage(input, output);
120
121 double min, max;
122 minMaxLoc(output, &min, &max);
123
124 int nb_segs = (int)max + 1;
125
126 std::cout << nb_segs << " segments" << std::endl;
127
128 output_image = Mat::zeros(output.rows, output.cols, CV_8UC3);
129
130 uint* p;
131 uchar* p2;
132
133 for (int i = 0; i < output.rows; i++) {
134
135 p = output.ptr<uint>(i);
136 p2 = output_image.ptr<uchar>(i);
137
138 for (int j = 0; j < output.cols; j++) {
139 Scalar color = color_mapping(p[j]);
140 p2[j*3] = (uchar)color[0];
141 p2[j*3 + 1] = (uchar)color[1];
142 p2[j*3 + 2] = (uchar)color[2];
143 }
144 }
145
146 imwrite(argv[2], output_image);
147
148 std::cout << "Image written to " << argv[2] << std::endl;
149
150 return 0;
151 }
152