设置图片的阈值c语言,opencv提取轮廓大于某个阈值的图像

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

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 > contours;

vectorhierarchy;

vector 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

{

n=contours[i].size();

for (int j =0;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脚本之家。