forked from spmallick/learnopencv
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcenter_of_multipe_blob.cpp
69 lines (52 loc) · 1.71 KB
/
center_of_multipe_blob.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace cv;
using namespace std;
RNG rng(12345);
void find_moments( Mat src );
int main(int argc, char** argv)
{
/// Load source image, convert it to gray
Mat src, gray;
src = imread(argv[1], 1 );
cvtColor( src, gray, COLOR_BGR2GRAY );
namedWindow( "Source", WINDOW_AUTOSIZE );
imshow( "Source", src );
// call function to find_moments
find_moments( gray );
waitKey(0);
return(0);
}
void find_moments( Mat gray )
{
Mat canny_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// Detect edges using canny
Canny( gray, canny_output, 50, 150, 3 );
// Find contours
findContours( canny_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Get the moments
vector<Moments> mu(contours.size() );
for( int i = 0; i < contours.size(); i++ )
{ mu[i] = moments( contours[i], false ); }
/// Get the centroid of figures.
vector<Point2f> mc( contours.size() );
for( int i = 0; i < contours.size(); i++ )
{ mc[i] = Point2f( mu[i].m10/mu[i].m00 , mu[i].m01/mu[i].m00 ); }
/// Draw contours
Mat drawing(canny_output.size(), CV_8UC3, Scalar(255,255,255));
for( int i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar(167,151,0);
drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
circle( drawing, mc[i], 4, color, -1, 7, 0 );
}
/// Show the resultant image
namedWindow( "Contours", WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
waitKey(0);
}