How to find the given rectangle co-ordinqtes are overlapped and how to group it together as one if ?

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How to find the given rectangle co-ordinates are overlapped ?
How to group it together one if rectangles are overlapped?

Here given example Exmaple:

Format - Rect.x , Rect.y Rect.Width , Rect.Height

vector<Rect>boundRect(8);

boundRect[0].x = 260;   boundRect[0].y = 77;    boundRect[0].width = 90;    boundRect[0].height  = 150;
boundRect[1].x = 307;   boundRect[1].y = 227;   boundRect[1].width = 51;    boundRect[1].height  = 15;
boundRect[2].x = 358;   boundRect[2].y = 214;   boundRect[2].width = 41;    boundRect[2].height  = 51;
boundRect[3].x = 329;   boundRect[3].y = 261;   boundRect[3].width = 37;    boundRect[3].height  = 11;

boundRect[4].x = 204;   boundRect[4].y = 272;   boundRect[4].width = 241;   boundRect[4].height  = 146;
boundRect[5].x = 210;   boundRect[5].y = 263;   boundRect[5].width = 9;     boundRect[5].height  = 9;
boundRect[6].x = 184;   boundRect[6].y = 362;   boundRect[6].width = 32;    boundRect[6].height  = 64;
boundRect[7].x = 551;   boundRect[7].y = 345;   boundRect[7].width = 27;    boundRect[7].height  = 25;

The above are the co-ordinates , we need to find which rectangle are overlapped and group it.

#include "opencv2/opencv.hpp"
#include <string>

using namespace cv;
using namespace std;

int main()
{
    int nA_Val = 3;
    int nMax_Val = 150;
    Mat mImage = imread("TButterfly.jpg",1);
    //cv::floodFill(mImage, cv::Point(150,150), cv::Scalar(255.0, 255.0, 255.0));
    //Mat mask = imread("Mask2.jpg",0);
    //cv::Mat mask = cv::Mat::zeros(mImage.rows + 2, mImage.cols + 2, CV_8U);
    //  Mat mIMask = imread("",1);
    //  floodFill(mImage,cv::Point(55,70),cv::Scalar(0,0,255),0,cv::Scalar(nA_Val,nA_Val,nA_Val),cv::Scalar(nMax_Val,nMax_Val,nMax_Val),4);
//  cv::floodFill(mImage, mask, cv::Point(210,148), cv::Scalar(0,0,255), 0, cv::Scalar(nA_Val,nA_Val,nA_Val),
//      cv::Scalar(nMax_Val,nMax_Val,nMax_Val),  4 + (255 << 8) + cv::FLOODFILL_FIXED_RANGE     );

//  cv::floodFill(mImage, mask, cv::Point(404,231), cv::Scalar(0,255,255), 0, cv::Scalar(nA_Val,nA_Val,nA_Val),
//      cv::Scalar(nMax_Val,nMax_Val,nMax_Val),  4 + (255 << 8) + cv::FLOODFILL_FIXED_RANGE    );
        floodFill(mImage,cv::Point(71,62),cv::Scalar(0,0,255),0,cv::Scalar(nA_Val,nA_Val,nA_Val),cv::Scalar(nMax_Val,nMax_Val,nMax_Val),4);
    //  floodFill(mImage,cv::Point(202,350),cv::Scalar(0,255,255),0,cv::Scalar(nA_Val,nA_Val,nA_Val),cv::Scalar(nMax_Val,nMax_Val,nMax_Val),4);
    erode(mImage,mImage,Mat());
    imshow("mImage",mImage);
    imwrite("mImage.jpg",mImage);
    waitKey(0);
    return 0;
}