OpenCV学习(32) 求轮廓的包围盒

      在OpenCV中，能够很方便的求轮廓包围盒。包括矩形，圆形，椭圆形以及倾斜的矩形(包围面积最小)集中包围盒。用到的四个函数是：

Rect boundingRect(InputArray points)

void minEnclosingCircle(InputArray points, Point2f& center, float& radius)

RotatedRect minAreaRect(InputArray points)

RotatedRect fitEllipse(InputArray points)

输入的参数都是轮廓，下面是程序代码：

1. Rect和原型包围盒代码：

nt main( int argc, char** argv )    {//装入图像    src = imread("../ballon.jpg", 1 );

//转化为灰度图并进行blur操作    cvtColor( src, src_gray, CV_BGR2GRAY );    blur( src_gray, src_gray, Size(3,3) );

namedWindow( "source", CV_WINDOW_AUTOSIZE );    imshow( "source", src );

Mat threshold_output;    vector<vector<Point> > contours;    vector<Vec4i> hierarchy;

//得到二值图像    threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );//查找轮廓    findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

//对轮廓进行多边形近似处理求得圆形和四边形包围盒    vector<vector<Point> > contours_poly( contours.size() );    vector<Rect> boundRect( contours.size() );    vector<Point2f>center( contours.size() );    vector<float>radius( contours.size() );

//得到每个轮廓的包围盒RECT以及园，园用中心和半径表示for( int i = 0; i < contours.size(); i++ )        {         approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );        boundRect[i] = boundingRect( Mat(contours_poly[i]) );        minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] );        }

//画轮廓以及它的四边形和原型包围盒    Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );for( int i = 0; i< contours.size(); i++ )        {        Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );        drawContours( drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point() );//tl是左上角坐标, br是右下角坐标        rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );        circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );        }

namedWindow( "Contours", CV_WINDOW_AUTOSIZE );    imshow( "Contours", drawing );

while(1)        waitKey(0);return(0);    }

程序运行效果：

2. 椭圆形和倾斜的矩形包围盒代码：

int main( int argc, char** argv )    {//装入图像    src = imread("../ballon.jpg", 1 );

//转化为灰度图并进行blur操作    cvtColor( src, src_gray, CV_BGR2GRAY );    blur( src_gray, src_gray, Size(3,3) );

namedWindow( "source", CV_WINDOW_AUTOSIZE );    imshow( "source", src );

Mat threshold_output;    vector<vector<Point> > contours;    vector<Vec4i> hierarchy;

//得到二值图像    threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );//查找轮廓    findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

//查找轮廓的最小旋转rect和椭圆包围盒    vector<RotatedRect> minRect( contours.size() );    vector<RotatedRect> minEllipse( contours.size() );

for( int i = 0; i < contours.size(); i++ )        { minRect[i] = minAreaRect( Mat(contours[i]) );if( contours[i].size() > 5 )        { minEllipse[i] = fitEllipse( Mat(contours[i]) ); }        }

//画轮廓和包围盒    Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );for( int i = 0; i< contours.size(); i++ )        {        Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );// 轮廓        drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );// 椭圆        ellipse( drawing, minEllipse[i], color, 2, 8 );// 旋转rect        Point2f rect_points[4]; minRect[i].points( rect_points );for( int j = 0; j < 4; j++ )            line( drawing, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );        }

namedWindow( "Contours", CV_WINDOW_AUTOSIZE );    imshow( "Contours", drawing );

while(1)        waitKey(0);return(0);    }

程序运行效果：