opencv 提取轮廓大于某个阈值的图像

#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