1 files changed, 0 insertions, 52 deletions
diff --git a/pupil-detect.cpp b/pupil-detect.cpp
deleted file mode 100644
index 6e51c94..0000000
--- a/pupil-detect.cpp
+++ /dev/null
@@ -1,52 +0,0 @@
-/**
- * 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;
-}
-