使用 cv::warpAffine 偏移量目标图像旋转 cv::Mat

I suspect this is happening because I'm calling warpAffine() and passing the size of the original Mat instead of the size of destination Mat. But I'm doing this because I followed this answer, but now I suspect that the answer may be wrong. So this is my first doubt/problem.

第二个，是 warpAffine() 正在在某个偏移量处写入目标(可能是将旋转后的数据复制到图像的中间)和这个操作会在图像周围留下可怕的大黑色边框.

The second, is that warpAffine() is writing to the destination at a certain offset (probably to copy the rotated data to the middle of the image) and this operation leaves a horrible and large black border around the image.

我该如何解决这些问题?

我在下面分享源代码:

#include <cv.h>
#include <highgui.h>
#include <iostream>

using namespace cv;
using namespace std;

void rotate(Mat& image, double angle)
{
    Point2f src_center(image.cols/2.0F, image.rows/2.0F);

    Mat rot_matrix = getRotationMatrix2D(src_center, angle, 1.0);

    Mat rotated_img(Size(image.size().height, image.size().width), image.type());

    warpAffine(image, rotated_img, rot_matrix, image.size());
    imwrite("rotated.jpg", rotated_img);
}

int main(int argc, char* argv[])
{
    Mat orig_image = imread(argv[1], 1);
    if (orig_image.empty())
    {
        cout << "!!! Couldn't load " << argv[1] << endl;
        return -1;
    }

    rotate(orig_image, 90);

    return 0;
}

推荐答案

我找到了一个解决方案，它不涉及warpAffine().

I've found a solution that doesn't involve warpAffine().

但在此之前，我需要声明(以供将来参考)我的怀疑是正确的，您需要在调用 warpAffine():

But before that, I need to state (for future references) that my suspicion was right, you needed to pass the size of the destination when calling warpAffine():

warpAffine(image, rotated_img, rot_matrix, rotated_img.size());

据我所知，此函数绘制的黑色边框(由在偏移处写入引起)似乎是标准行为.我已经注意到 C 接口以及在 Mac 和 Linux 上运行的 OpenCV 的 C++ 接口，使用版本 2.3.1a 和 2.3.0.

As far as I can tell, the black border (caused by writing at an offset) drawed by this function seems to be it's standard behavior. I've noticed this with the C interface and also with the C++ interface of OpenCV running on Mac and Linux, using the versions 2.3.1a and 2.3.0.

我最终使用的解决方案比所有这些扭曲简单得多.您可以使用 cv::transpose() 和 cv::flip() 将图像旋转 90 度.这是:

The solution I ended up using is much simpler than all this warp thing. You can use cv::transpose() and cv::flip() to rotate an image by 90 degrees. Here it is:

Mat src = imread(argv[1], 1);

cv::Mat dst;
cv::transpose(src, dst);
cv::flip(dst, dst, 1);

imwrite("rotated90.jpg", dst);

----I>

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