final

ora5/proj1/m2

@@ -0,0 +1,45 @@
+#include "histo.h"
+#include <opencv2/core.hpp>
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
+#include <iostream>
+#include <vector>
+
+using namespace cv;
+
+int main(){
+    Mat img = imread("../madar.jpg", IMREAD_COLOR);
+    imshow("img", img);
+
+    Histo::showHisto(img, "histo", 1);
+
+    std::vector<Mat> chs;
+    split(img, chs);
+
+    /*imshow("r", chs[2]);
+    imshow("g", chs[1]);
+    imshow("b", chs[0]);*/
+
+
+    Mat dest1, dest2, dest3, dest4, mask;
+
+    //dest1 = img > 100;
+    //threshold(img, dest2, 100, 255, THRESH_BINARY);
+    //threshold(img, dest3, 100, 255, THRESH_OTSU);
+    //threshold(img, dest4, 100, 255, THRESH_TRIANGLE);
+    
+    //medianBlur(dest1, dest1, 3);
+
+    threshold(chs[0], mask, 120, 255, THRESH_BINARY|cv::THRESH_OTSU);
+
+    img.copyTo(dest2, mask);
+
+
+    //imshow("dest1", dest1);
+    imshow("dest2", dest2);
+    //imshow("dest3", dest3);
+    //imshow("dest4", dest4);
+
+    while(waitKey(3) != 'q');
+    return 0;
+}

ora5/proj1/main.cpp

@@ -1,45 +1,75 @@
-#include "histo.h"
+#include <iostream>
+#include <vector>
 #include <opencv2/core.hpp>
 #include <opencv2/highgui.hpp>
 #include <opencv2/imgproc.hpp>
-#include <iostream>
-#include <vector>
 
+using namespace std;
 using namespace cv;
 
-int main(){
-    Mat img = imread("../madar.jpg", IMREAD_COLOR);
-    imshow("img", img);
+void kordetektalo1(const Mat& gray, vector<Vec3f>& circles) {
 
-    Histo::showHisto(img, "histo", 1);
-
-    std::vector<Mat> chs;
-    split(img, chs);
-
-    /*imshow("r", chs[2]);
-    imshow("g", chs[1]);
-    imshow("b", chs[0]);*/
-
-
-    Mat dest1, dest2, dest3, dest4, mask;
-
-    //dest1 = img > 100;
-    //threshold(img, dest2, 100, 255, THRESH_BINARY);
-    //threshold(img, dest3, 100, 255, THRESH_OTSU);
-    //threshold(img, dest4, 100, 255, THRESH_TRIANGLE);
-    
-    //medianBlur(dest1, dest1, 3);
-
-    threshold(chs[0], mask, 120, 255, THRESH_BINARY|cv::THRESH_OTSU);
-
-    img.copyTo(dest2, mask);
-
-
-    //imshow("dest1", dest1);
-    imshow("dest2", dest2);
-    //imshow("dest3", dest3);
-    //imshow("dest4", dest4);
-
-    while(waitKey(3) != 'q');
-    return 0;
+	int cannyTh = 60;  
+	int minPoints = 30; 
+	int minR = 22;  //K1: allitsd be
+	int maxR = 26;  //K1: allitsd be
+	int d = 2; 
+	int minDist = 10; 
+	
+	cv::HoughCircles(gray, circles, cv::HOUGH_GRADIENT, d, minDist, cannyTh, minPoints, minR, maxR);
+}
+
+int main(){
+	Mat img = imread("past.jpg", IMREAD_COLOR);
+	if(img.empty()){
+	    return 1;
+	}
+	
+    // 1. Konvertáld szürkeskálássá az img képet
+	Mat gray;
+	cvtColor(img, gray, COLOR_BGR2GRAY);
+	imwrite("gray_stud.png", gray);
+	
+	
+	vector<Vec3f> circles; 
+	kordetektalo1(gray, circles);
+
+    // 2. Végezz mediánszűrés 11x11-es ablakmérettel.
+    Mat mb2;
+    medianBlur(img, mb2, 11);
+    imwrite("filtered_stud.png", mb2);
+
+	// 3. rajzold ki a detektált köröket az eredeti képre
+	// sugár: 6, szín: tiszta piros, vonalvastagság: FILLED
+    int radius = 6;
+    
+    for (auto c : circles) {
+		int x = c[0];
+		int y = c[1];
+		circle(img, Point(x,y), radius, Scalar(0, 100, 100), 2, cv::LineTypes::FILLED);
+	}
+    
+    imwrite("result_stud.png", img);
+	
+
+	// 4. Határozd meg a körök középpontja alá eső pixelek 
+	// KÉK komponensének átlagát a SZŰRT képen.  
+	double mean_v = 0;
+	vector<Mat> chs;
+	split(circles, chs); //bgr
+	int count = 0;
+	for(auto c : circles){
+	    int x = c[0];
+		int y = c[1];
+	    mean_v += img.at<uchar>(y,x);
+	}
+	mean_v /= circles.size();
+	
+	
+	// Jelenitsd meg az atlagot a standard kimeneten.
+	// cout << mean_v << endl;
+	
+	waitKey();
+
+    return 0;	
 }