Question

我是opencv的新手，我试图在一个窗口中用检测到的轮廓过度覆盖原始图像，但我遇到了困难。是否有可能在一个窗口中过度使用这两个图像。如果是这样，怎么样？

 #include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>

using namespace cv;
using namespace std;

Mat src; Mat src_gray;
int thresh = 20;
int max_thresh = 20;
RNG rng(12345);

// Function header
void thresh_callback(int, void* );

/** @function main */
 int main( int argc, char** argv )
{
  // Load source image and convert it to gray
  src = imread( "image18.jpg", 1 );

  // Convert image to gray and blur it
  cvtColor( src, src_gray, CV_BGR2GRAY );
   blur( src_gray, src_gray, Size(31,31) );

  // Create Window
   char* source_window = "Source";
  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
  imshow( source_window, src );

   createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
   thresh_callback( 0, 0 );

   waitKey(0);
   return(0);
   }

/** @function thresh_callback */
void thresh_callback(int, void* )
{
  Mat canny_output;
  vector<vector<Point> > contours;
  vector<Vec4i> hierarchy;

  // Detect edges using canny
  Canny( src_gray, canny_output, thresh, thresh*2, 3 );
  // Find contours
  findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

  // Draw contours
  Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
  for( int i = 0; i< contours.size(); i++ )
     {
       Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
       drawContours( drawing, contours, i, color, 0.5, 1, hierarchy, 0, Point() );
      }

   // Show in a window
   namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
    }

Answer 1

您可以在源图片上正确绘制轮廓，即代替此：

Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );

使用原始图片：

drawing = src;

（虽然使用局部变量并通过引用传递矩阵作为参数将是更好的风格）

OpenCV叠加两个图像

1 个答案: