#include <opencv.hpp>

using namespace cv;

using namespace std;

int main()

{

    //指针访问每个像素并赋值

    Mat img = imread("001.jpg");

    for (int i = ; i < img.rows; i++)

    {

        uchar* data = img.ptr<uchar>(i); // 获取每i行的首地址

        for (int j = ; j < (img.cols*img.channels())/*列数乘以通道数*/; j++)

            data[j] = ;

    }

    imshow("", img);

    waitKey();

    return ;

}

#include <opencv.hpp>

using namespace cv;

using namespace std;

int main()

{

    //使用迭代器

    Mat img = imread("001.jpg");

    Mat_<Vec3b>::iterator it = img.begin<Vec3b>(); // 迭代器的初始位置

    Mat_<Vec3b>::iterator itend = img.end<Vec3b>(); // 迭代器的终止位置

    for (; it != itend; it++)

    {

        (*it)[] = ;

        (*it)[] = ;

        (*it)[] = ;

    }

    imshow("", img);

    waitKey();

    return ;

}

#include <opencv.hpp>

using namespace cv;

using namespace std;

int main()

{

    //动态地址计算 use .at

    Mat img = imread("001.jpg");

    for (int i = ; i < img.rows; i++)

    for (int j = ; j < img.cols; j++)

    {

        img.at<Vec3b>(i, j)[] = ;

        img.at<Vec3b>(i, j)[] = ;

        img.at<Vec3b>(i, j)[] = ;

    }

    imshow("", img);

    waitKey();

    return ;

}