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
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#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服务器之家。
原文链接:https://blog.csdn.net/yeyang911/article/details/17398009