簡單opencv 外輪廓檢測以加矩形框
阿新 • • 發佈:2019-01-22
#include <iostream>
#include <opencv2\opencv.hpp>
#include<opencv.hpp>
using namespace std;
using namespace cv;
int main() {
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
Mat src_gray;
Mat frame;
//自定義形態學元素結構
cv::Mat element5(9, 9, CV_8U, cv::Scalar(1));//5*5正方形,8位uchar型,全1結構元素
Scalar color = Scalar(0, 0, 255);
cv::Mat closed;
Rect rect;
frame = imread("./lunkuo.jpg");
imshow("src", frame);
Mat image = frame.clone();
cvWaitKey(1000);
cvtColor(frame, src_gray, COLOR_BGR2GRAY);
//使用Canny檢測邊緣
Canny(src_gray, threshold_output, 80, 126, (3, 3));
//高階形態學閉運算函式
cv::morphologyEx(threshold_output, closed, cv::MORPH_CLOSE, element5);
imshow("canny", threshold_output);
imshow("erode", closed);
// 尋找外輪廓輪廓
findContours(closed, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE, Point());
cout << contours.size() << endl;
for (int i = 0; i < contours.size(); i++)
{
for (int j = 0; j < contours[i].size(); j++)
{
cout << contours[i][j] << endl;
//遍歷輪廓中每個畫素點並且賦值顏色
//frame.at<Vec3b>(contours[i][j].y, contours[i][j].x) = (0, 0, 255);
}
}
//轉換輪廓點到最大外矩形框
rect = boundingRect(contours[0]);
rectangle(image,rect,color);
//加矩形框後的圖片
imshow("rect", image);
cvWaitKey(0);
return 0;
}