本文实例为大家分享了opencv提取轮廓大于某个阈值的图像，供大家参考，具体内容如下

#include "stdafx.h"#include "cv.h"#include "highgui.h"#include "stdio.h"#include"core/core.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/core/core.hpp"#include "opencv2/imgproc/imgproc.hpp" #include <iostream> using namespace cv;using namespace std;int main(int argc, char** argv){ const char* inputImage = "d:/3.jpg"; Mat img; int threshval =100; img = imread(inputImage,0); if (img.empty()) { cout << "Could not read input image file: " << inputImage << endl; return -1; } img = img >110; namedWindow("Img", 1); imshow("Img", img); vector<vector<Point> > contours; vector<Vec4i>hierarchy; vector<Point> contour; Mat dst = Mat::zeros(img.rows, img.cols, CV_8UC3); findContours(img, contours,hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE); int m=contours.size();//得到轮廓的数量 int n=0; for (int i =0;i<m;++i) { n=contours[i].size(); for (int j =0;j<n;++j) { contour.push_back(contours[i][j]);//读取每个轮廓的点 } double area = contourArea(contour); //取得轮廓面积 if (area>10)//只画出轮廓大于10的点 { Scalar color( (rand()&255), (rand()&255), (rand()&255) ); drawContours( dst, contours, i, color, 1, 8, hierarchy ); } contour.clear(); } namedWindow("src", 1); imshow( "src", dst ); waitKey(); return 0;}

左边为二值化的图像

右边为提取面积大于10的轮廓的图像

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。