Opencv2与Opencv1访问像素语法转换

来源：互联网发布：白金数据漫画编辑：程序博客网时间：2024/05/22 11:51

本人比较习惯于Opencv1的代码写法，看了最新一本关于Opencv2写法，虽然原理是一样的但是写法差别是很大的，所以我看了Opencv2访问像素写法后就尝试改变为Opencv1代码写法。

下面代码是网上的：修改图片的对比度与亮度代码如下所示，是使用Opencv2代码写法

Mat image = imread("./6.jpg");    Mat new_image = Mat::zeros( image.size(), image.type() );    /// 初始化    cout << " Basic Linear Transforms " << endl;    cout << "-------------------------" << endl;    cout << "* Enter the alpha value [1.0-3.0]: ";    cin >> alpha;    cout << "* Enter the beta value [0-100]: ";    cin >> beta;    /// 执行运算 new_image(i,j) = alpha*image(i,j) + beta    for( int y = 0; y < image.rows; y++ )    {        for( int x = 0; x < image.cols; x++ )        {            for( int c = 0; c < 3; c++ )            {                new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );            }        }    }    /// 创建窗口    namedWindow("Original Image", 1);    namedWindow("New Image", 1);    /// 显示图像    imshow("Original Image", image);    imshow("New Image", new_image);    /// 等待用户按键    waitKey();

下面是我根据原理用Opencv1代码写法：

IplImage *src, *dst;src = cvLoadImage("./6.jpg");dst = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);cvZero(dst);/// 初始化    cout << " Basic Linear Transforms " << endl;    cout << "-------------------------" << endl;    cout << "* Enter the alpha value [1.0-3.0]: ";    cin >> alpha;    cout << "* Enter the beta value [0-100]: ";    cin >> beta;for( int x = 0; x < src->width ; x++ )    {for( int y = 0; y < src->height; y++ )        {            for( int c = 0; c < 3; c++ )            {                //new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );((uchar *)(dst->imageData + dst->widthStep * y))[x * 3 + c] = saturate_cast<uchar>(alpha*((uchar *)(src->imageData + src->widthStep * y))[x * 3 + c]+beta);            }        }    }cvNamedWindow("src");cvNamedWindow("dst");cvShowImage("src", src);cvShowImage("dst", dst);cvWaitKey();//销毁窗口与释放内存cvDestroyAllWindows();cvReleaseImage(&src);cvReleaseImage(&dst);return 0;

原图与处理好图如下所示：