RotatedRect 的 OpenCV 最小直立边界矩形

问题描述

我正在尝试确定旋转矩形的最小边界矩形.我尝试了几个示例，例如

解决方案

我认为 这里 你可以找到一个功能达到你想要的结果.

#include "opencv2/imgproc/imgproc.hpp"#include "opencv2/highgui/highgui.hpp"使用命名空间 cv；int main( int argc, char**){旋转矩形；r.center = cv::Point2f(783.490417, 433.673492);r.angle = 95.4092407;r.size = cv::Size2f(810.946899, 841.796997);cv::Mat img = Mat::zeros(843, 1500, CV_8UC3);cv::Rect rect = r.boundingRect();cv::ellipse(img, r, cv::Scalar(0, 0, 255));//红色的Point2f 顶点[4]；r.points(顶点);for (int i = 0; i  maxY){浮动温度 = minY;minY = maxY;maxY = 温度；}如果 (minX > maxX){浮动温度 = minX;minX = maxX;maxX = 温度；}矩形黄色矩形(minX,minY,maxX-minX+1,maxY-minY+1);矩形(img，yellowrect，标量(0、255、255))；//黄色的cv::imshow("结果", img);等待键()；}

I'm trying to determin minimum bouding rect of a rotated rectangle. I tried a couple of samples like this from RotatedRect reference or from this tutorial about ellipses and bounding boxes. Nothing with satisfactory results. On the image bellow, yellow rectangle is the desired result.

Example data for my test:

Image:
    Width: 1500
    Height: 843

RotatedRect:
    Center:
        X: 783.490417
        Y: 433.673492
    Size:
        Width: 810.946899
        Height: 841.796997
    Angle: 95.4092407

Sample code:

cv::RotatedRect r(cv::Point2f(783.490417, 433.673492), 
    cv::Size2f(810.946899, 841.796997), 
    95.4092407);

cv::Mat img = Mat::zeros(843, 1500, CV_8UC3);

cv::Rect rect  = r.boundingRect();
cv::ellipse(img, r, cv::Scalar(0, 0, 255)); // RED

Point2f vertices[4];
r.points(vertices);

for (int i = 0; i < 4; i++)
    line(img, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0)); // GREEN

rectangle(img, rect, Scalar(255, 0, 0)); // BLUE
cv::imshow("Result", img);

• RED - RotatedRect for which min bouding rect is calculated
• BLUE - r.boundingRect()
• GREEN - r.points()
• YELLOW - desired result

解决方案

i think here you can find a function doing your desired result.

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"


using namespace cv;

int main( int argc, char**)
{
    RotatedRect r ;
    r.center =  cv::Point2f(783.490417, 433.673492);
    r.angle = 95.4092407;
    r.size = cv::Size2f(810.946899, 841.796997);

    cv::Mat img = Mat::zeros(843, 1500, CV_8UC3);

    cv::Rect rect  = r.boundingRect();
    cv::ellipse(img, r, cv::Scalar(0, 0, 255)); // RED

    Point2f vertices[4];
    r.points(vertices);

    for (int i = 0; i < 4; i++)
        line(img, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0)); // GREEN

    rectangle(img, rect, Scalar(255, 0, 0)); // BLUE


    float degree = r.angle*3.1415/180;
    float majorAxe = r.size.width/2;
    float minorAxe = r.size.height/2;
    float x = r.center.x;
    float y = r.center.y;
    float c_degree = cos(degree);
    float s_degree = sin(degree);
    float t1 = atan(-(majorAxe*s_degree)/(minorAxe*c_degree));
    float c_t1 = cos(t1);
    float s_t1 = sin(t1);
    float w1 = majorAxe*c_t1*c_degree;
    float w2 = minorAxe*s_t1*s_degree;
    float maxX = x + w1-w2;
    float minX = x - w1+w2;

    t1 = atan((minorAxe*c_degree)/(majorAxe*s_degree));
    c_t1 = cos(t1);
    s_t1 = sin(t1);
    w1 = minorAxe*s_t1*c_degree;
    w2 = majorAxe*c_t1*s_degree;
    float maxY = y + w1+w2;
    float minY = y - w1-w2;
    if (minY > maxY)
    {
        float temp = minY;
        minY = maxY;
        maxY = temp;
    }
    if (minX > maxX)
    {
        float temp = minX;
        minX = maxX;
        maxX = temp;
    }
    Rect yellowrect(minX,minY,maxX-minX+1,maxY-minY+1);

    rectangle(img, yellowrect, Scalar(0, 255, 255)); // YELLOW
    cv::imshow("Result", img);
    waitKey();
}

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