main

main.cpp

+#include<opencv2\opencv.hpp>
+
+using namespace cv;
+using namespace std;
+double distance(Point2d a,Point2d b)
+{
+	return sqrtf((powf((a.x - b.x), 2))+ powf((a.y - b.y), 2));
+}
+int main()
+{
+	string imgpath = "D:/11CTag/t1.png";
+	Mat img = imread(imgpath, 0);
+	Mat local;
+	adaptiveThreshold(img, local, 255, cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY, 51, 11);
+	vector<vector<Point>> contours;
+	vector<Vec4i> hierarchy;
+	findContours(local, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point());
+	Mat imageContours = Mat::zeros(local.size(), CV_8UC1);
+	Mat Contours = Mat::zeros(local.size(), CV_8UC1);  //绘制 
+	Mat dstImg = Mat::zeros(local.size(), CV_8UC1);  //绘制 
+	vector<vector<Point>> contours_poly(contours.size());//用于存放折线点集
+	vector<vector<Point>> potential_quad;
+	for (int i = 0; i < contours.size(); i++)
+	{
+		//contours[i]代表的是第i个轮廓，contours[i].size()代表的是第i个轮廓上所有的像素点数  
+		//for (int j = 0; j < contours[i].size(); j++)
+		//{
+			//绘制出contours向量内所有的像素点  
+			//Point P = Point(contours[i][j].x, contours[i][j].y);
+			//Contours.at<uchar>(P) = 255;
+		//}
+		
+ 
+		approxPolyDP(Mat(contours[i]), contours_poly[i], arcLength(Mat(contours[i]), true)*0.02, true);
+		//矩形必须是四个点,必须是凸的，
+		if (contours_poly[i].size() == 4 && fabs(contourArea(Mat(contours_poly[i]))) > 1000 && isContourConvex(Mat(contours_poly[i])))
+		{
+			cout << contours_poly[i] << endl;
+			//potential_quad.push_back(contours_poly[i]);
+			drawContours(dstImg, contours_poly, i, Scalar(255), 1, 8);  //绘制
+			Mat imgtmp = img.clone();
+			int maxx=0, maxy=0, minx=9999, miny=9999;
+			for (int j = 0; j < 4; j++)
+			{
+				maxx = max(contours_poly[i][j].x, maxx);
+				maxy = max(contours_poly[i][j].y, maxy);
+				minx = min(contours_poly[i][j].x, minx);
+				miny = min(contours_poly[i][j].y, miny);
+			}
+			Rect rect(minx,miny,maxx-minx,maxy-miny);
+			Mat roi = Mat(imgtmp, rect);
+			SimpleBlobDetector::Params params;
+			params.blobColor = 255;
+			cv::Ptr<cv::SimpleBlobDetector> detector = SimpleBlobDetector::create(params);
+			vector<KeyPoint> keyp;
+			detector->detect(roi, keyp);
+			cout << keyp.size() << endl;
+			imshow("ROI", roi);
+			waitKey(0);
+		}
+ 
+		drawContours(imageContours, contours, i, Scalar(255), 1, 8, hierarchy);
+	}
+	imshow("approx", dstImg);
+	imshow("Contours Image", imageContours); //轮廓  
+	//imshow("Point of Contours", Contours);   //向量contours内保存的所有轮廓点集  
+	imshow("imgraw", local);
+
+	waitKey(0);
+	return 0;
+}