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
|
/**
* Program to detect pupil, based on
* http://www.codeproject.com/Articles/137623/Pupil-or-Eyeball-Detection-and-Extraction-by-C-fro
* with some improvements.
*/
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <cmath>
int main(int argc, char** argv)
{
// Load image
cv::Mat src = cv::imread("eye_image.jpg");
if (src.empty())
return -1;
// Invert the source image and convert to grayscale
cv::Mat gray;
cv::cvtColor(~src, gray, CV_BGR2GRAY);
// Convert to binary image by thresholding it
cv::threshold(gray, gray, 220, 255, cv::THRESH_BINARY);
// Find all contours
std::vector<std::vector<cv::Point> > contours;
cv::findContours(gray.clone(), contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
// Fill holes in each contour
cv::drawContours(gray, contours, -1, CV_RGB(255,255,255), -1);
for (int i = 0; i < contours.size(); i++)
{
double area = cv::contourArea(contours[i]);
cv::Rect rect = cv::boundingRect(contours[i]);
int radius = rect.width/2;
// If contour is big enough and has round shape
// Then it is the pupil
if (area >= 30 &&
std::abs(1 - ((double)rect.width / (double)rect.height)) <= 0.2 &&
std::abs(1 - (area / (CV_PI * std::pow(radius, 2)))) <= 0.2)
{
cv::circle(src, cv::Point(rect.x + radius, rect.y + radius), radius, CV_RGB(255,0,0), 2);
}
}
cv::imshow("image", src);
cv::waitKey(0);
return 0;
}
|
