Opencv图像变成灰度图像、取反图像

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int main(int argc,char** argv)
{
  Mat img1, img2,img3,img1_1;
  img1 = imread("D://images//4.jpg");
  if (img1.empty())
  {
    cout <<"could not load images......" << endl;
    return 0;
  }

  namedWindow("win1",CV_WINDOW_AUTOSIZE);
  imshow("win1",img1);
  img1.copyTo(img1_1);
  //namedWindow("win1_1", CV_WINDOW_AUTOSIZE);
  //imshow("win1_1", img1_1);

  cvtColor(img1,img2,CV_BGR2GRAY);
  namedWindow("win2", CV_WINDOW_AUTOSIZE);
  imshow("win2", img2);

  int height = img2.rows;
  int width = img2.cols;

  for (int row=0;row<height;row++)
  {
    for (int col=0;col<width;col++)
    {
      int px_value = img2.at<uchar>(row,col);
      //cout << px_value<< endl;
      img2.at<uchar>(row, col) = 255 - px_value;
    }
  }

  namedWindow("win3", CV_WINDOW_AUTOSIZE);
  imshow("win3", img2);

  img3.create(img1_1.size(), img1_1.type());
  int height_3 = img1_1.rows;
  int widht_3 = img1_1.cols;
  int channels_3 = img1_1.channels();

  /*
  for (int row = 0; row < height_3; row++)
  {
    for (int col=0;col<widht_3;col++)
    {
      if (channels_3==1)
      {
        int px_value = img1_1.at<uchar>(row,col);
        img1_1.at<uchar>(row, col) = 255 - px_value;
      }
      else if (channels_3==3)
      {
        int b = img3.at<Vec3b>(row, col)[0];
        int g = img3.at<Vec3b>(row, col)[1];
        int r = img3.at<Vec3b>(row,col)[2];

        img3.at<Vec3b>(row, col)[0] = 255 - b;
        img3.at<Vec3b>(row, col)[1] = 255 - g;
        img3.at<Vec3b>(row, col)[2] = 255 - r;
      }
    }
  }
  */

  bitwise_not(img1_1,img3);

  namedWindow("win4", CV_WINDOW_AUTOSIZE);
  imshow("win4", img3);


  waitKey(0);
  return 0;
}

原文地址:https://www.cnblogs.com/herd/p/9675726.html