opencv::轮廓周围绘制矩形框和圆形框

基于RDP算法实现,目的是减少多边形轮廓点数

approxPolyDP(InputArray  curve, OutputArray approxCurve,  double  epsilon,  bool  closed)

cv::boundingRect(InputArray points)//得到轮廓周围最小矩形左上交点坐标和右下角点坐标，绘制一个矩形

cv::minAreaRect(InputArray  points)//得到一个旋转的矩形，返回旋转矩形

cv::minEnclosingCircle(

    InputArray points,     //得到最小区域圆形

    Point2f& center,     // 圆心位置

    float& radius        // 圆的半径

)

cv::fitEllipse(InputArray  points)//得到最小椭圆

步骤

    首先将图像变为二值图像

    发现轮廓，找到图像轮廓

    通过相关API在轮廓点上找到最小包含矩形和圆，旋转矩形与椭圆。

    绘制它们。

Mat src, gray_src, drawImg;

int threshold_v = ;

int threshold_max = ;

RNG rng();

void Contours_Callback(int, void*);

int main(int argc, char** argv) {

    src = imread(STRPAHT2);

    if (!src.data) {

        printf("could not load image...\n");

        return -;

    }

    cvtColor(src, gray_src, CV_BGR2GRAY);

    blur(gray_src, gray_src, Size(, ), Point(-, -));

    imshow("source_win", src);

    createTrackbar("Threshold Value:", "output_win", &threshold_v, threshold_max, Contours_Callback);

    Contours_Callback(, );

    waitKey();

    return ;

}

void Contours_Callback(int, void*) {

    Mat binary_output;

    vector<vector<Point>> contours;

    vector<Vec4i> hierachy;

    threshold(gray_src, binary_output, threshold_v, threshold_max, THRESH_BINARY);

    //imshow("binary image", binary_output);

    findContours(binary_output, contours, hierachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(-, -));

    vector<vector<Point>> contours_ploy(contours.size());

    vector<Rect> ploy_rects(contours.size());

    vector<Point2f> ccs(contours.size());

    vector<float> radius(contours.size());

    vector<RotatedRect> minRects(contours.size());

    vector<RotatedRect> myellipse(contours.size());

    for (size_t i = ; i < contours.size(); i++) {

        //轮廓周围绘制矩形

        approxPolyDP(Mat(contours[i]), contours_ploy[i], , true);

        //得到轮廓周围最小矩形左上交点坐标和右下角点坐标，绘制一个矩形

        ploy_rects[i] = boundingRect(contours_ploy[i]);

        //得到一个旋转的矩形，返回旋转矩形

        minEnclosingCircle(contours_ploy[i], ccs[i], radius[i]);

        if (contours_ploy[i].size() > ) {

            myellipse[i] = fitEllipse(contours_ploy[i]);

            minRects[i] = minAreaRect(contours_ploy[i]);

        }

    }

    // draw it

    drawImg = Mat::zeros(src.size(), src.type());

    Point2f pts[];

    for (size_t t = ; t < contours.size(); t++) {

        Scalar color = Scalar(rng.uniform(, ), rng.uniform(, ), rng.uniform(, ));

        //矩形

        //rectangle(drawImg, ploy_rects[t], color, 2, 8);

        //圆

        //circle(drawImg, ccs[t], radius[t], color, 2, 8);

        if (contours_ploy[t].size() > ) {

            ellipse(drawImg, myellipse[t], color, , );

            minRects[t].points(pts);

            for (int r = ; r < ; r++) {

                line(drawImg, pts[r], pts[(r + ) % ], color, , );

            }

        }

    }

    imshow("output_win", drawImg);

    return;

}