Opencv2與Opencv1訪問像素語法轉換

本人比較習慣於Opencv1的代碼寫法，看了最新一本關於Opencv2寫法，雖然原理是一樣的但是寫法差別是很大的，所以我看了Opencv2訪問像素寫法後就嘗試改變爲Opencv1代碼寫法。

下面代碼是網上的：修改圖片的對比度與亮度代碼如下所示，是使用Opencv2代碼寫法

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;

    /// 執行運算 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 );
            }
        }
    }

    /// 創建窗口
    namedWindow("Original Image", 1);
    namedWindow("New Image", 1);

    /// 顯示圖像
    imshow("Original Image", image);
    imshow("New Image", new_image);

    /// 等待用戶按鍵
    waitKey();

下面是我根據原理用Opencv1代碼寫法：

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();

	//銷燬窗口與釋放內存
	cvDestroyAllWindows();
	cvReleaseImage(&src);
	cvReleaseImage(&dst);

	return 0;

原圖與處理好圖如下所示：