OpenCV C++ findContours函数 轮廓检测
#include <iostream>
#include <opencv2\core\>
#include <opencv2\highgui\>
#include <opencv2\imgproc\>
using namespace std;
using namespace cv;
int main(int argc, char* argv[])
{
Mat imageSource = imread("C:\\Users\\shang\\Desktop\\图片\\Image_20201108014812956.bmp", 0);
//imshow("原始图像", imageSource);
Mat image;
GaussianBlur(imageSource, image, Size(3, 3), 0);//高斯滤波
Canny(imageSource, image, 100, 250);
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
findContours(image, contours, hierarchy, RETR_TREE, CHAIN_APPROX_NONE, Point());
Mat imageContours = Mat::zeros(image.size(), CV_8UC1);
Mat Contours = Mat::zeros(image.size(), CV_8UC1); //绘制
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向量所有的像素点
Point P = Point(contours[i][j].x, contours[i][j].y);
Contours.at<uchar>(P) = 255;
}
//输出hierarchy向量内容
char ch[256];
sprintf_s(ch, "%d", i);
string str = ch;
cout << "向量hierarchy的第" << str << "个元素内容为：" << hierarchy[i] << endl << endl;
//绘制轮廓
drawContours(imageContours, contours, i, Scalar(255), 1, 8, hierarchy);
}
imshow("Contours Image CV_TRET_TREE", imageContours); //轮廓
imshow("Point of Contours CV_CHAIN_APPROX_NONE", Contours); //向量contours内保存的所有轮廓点集
waitKey(0);
return 0;
}```