#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;

}

 

Opencv图像变成灰度图像、取反图像_#include