Mat类操作

using namespace std;using namespace cv;int main(int argc, char** argv){    Mat src;    src = imread("111111.jpg" );    if (src.empty())    {        cout << "could not load image..." << endl;        return -1;    }    namedWindow("input", CV_WINDOW_AUTOSIZE);    imshow("input", src);    /*Mat dst;    dst = Mat(src.size(), src.type());    //RGB通道赋值    dst = Scalar(0, 0, 0);    namedWindow("output_dst", CV_WINDOW_AUTOSIZE);    imshow("output_dst", dst);*/    Mat dst;    //克隆图像    //dst = src.clone();    //使用src.coptTo(dst);一样的效果    //将src彩色图像转换成灰度图，放在dst内    cvtColor(src, dst, CV_BGR2GRAY);    printf("input image channels: %d \n", src.channels());    printf("output image channels: %d \n", dst.channels());    int cols = dst.cols;    int rows = dst.rows;    printf("rows:%d,cols:%d \n", rows, cols);    const uchar* fisrtRow = dst.ptr<uchar>(0);    printf("first pixel value: %d \n", *fisrtRow);    //自定义图像大小及初始化    //8UC3->8位，UC=unsigned char，3通道，与后面的Scalar一致    Mat M(100, 100, CV_8UC3, Scalar(0, 0, 255));    //Mat M(100, 100, CV_8UC1, Scalar(127));    //cout << "M=" << endl << M << endl;    //利用create创建一个图像，以src的尺寸和类型初始化m1    Mat m1;    m1.create(src.size(), src.type());    m1 = Scalar(0, 0, 255);    Mat csrc;    Mat kernel = (Mat_<float>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);    filter2D(src, csrc, -1, kernel);    //两种0值初始化    Mat m2 = Mat::zeros(src.size(), src.type());    Mat m3 = Mat::zeros(2, 2, CV_8UC1);    //Mat::eye初始化位单位矩阵    cout << "m3=" << endl << m3 << endl;    namedWindow("output_dst", CV_WINDOW_AUTOSIZE);    imshow("output_dst", m2);    waitKey(0);    return 0;}