1 、API介紹

輪廓周圍繪制矩形 ,基于RDP算法實現(xiàn),目的是減少多邊形輪廓點數(shù)

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

cv::boundingRect(InputArray points)得到輪廓周圍最小矩形左上交點坐標和右下角點坐標，繪制一個矩形

cv::minAreaRect(InputArray  points)得到一個旋轉(zhuǎn)的矩形，返回旋轉(zhuǎn)矩形

輪廓周圍繪制圓和橢圓

v::minEnclosingCircle(InputArray points, //得到最小區(qū)域圓形
    Point2f& center, // 圓心位置
    float& radius)// 圓的半徑
cv::fitEllipse(InputArray  points)得到最小橢圓

2 、流程

首先將圖像變?yōu)槎祱D像
發(fā)現(xiàn)輪廓，找到圖像輪廓
通過相關(guān)API在輪廓點上找到最小包含矩形和圓，旋轉(zhuǎn)矩形與橢圓。
繪制它們。

3 、整體代碼測試

#include <opencv2/opencv.hpp>
#include <iostream>
#include <math.h>

using namespace std;
using namespace cv;
Mat src, gray_src, drawImg;
int threshold_v = 170;
int threshold_max = 255;
const char* output_win = "rectangle-demo";
RNG rng(12345);
void Contours_Callback(int, void*);
int main(int argc, char** argv) {
    src = imread("D:\\pic/tubao.png");
    if (!src.data) {
        printf("could not load image...\n");
        return -1;
    }
    cvtColor(src, gray_src, CV_BGR2GRAY);
    blur(gray_src, gray_src, Size(3, 3), Point(-1, -1));

    const char* source_win = "input image";
    namedWindow(source_win, CV_WINDOW_AUTOSIZE);
    namedWindow(output_win, CV_WINDOW_AUTOSIZE);
    imshow(source_win, src);

    createTrackbar("Threshold Value:", output_win, &threshold_v, threshold_max, Contours_Callback);
    Contours_Callback(0, 0);

    waitKey(0);
    return 0;
}

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(-1, -1));

    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 = 0; i < contours.size(); i++) {
        approxPolyDP(Mat(contours[i]), contours_ploy[i], 3, true);
        ploy_rects[i] = boundingRect(contours_ploy[i]);
        minEnclosingCircle(contours_ploy[i], ccs[i], radius[i]);
        if (contours_ploy[i].size() > 5) {
            myellipse[i] = fitEllipse(contours_ploy[i]);
            minRects[i] = minAreaRect(contours_ploy[i]);
        }
    }

    // draw it
    drawImg = Mat::zeros(src.size(), src.type());
    Point2f pts[4];
    for (size_t t = 0; t < contours.size(); t++) {
        Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
        //rectangle(drawImg, ploy_rects[t], color, 2, 8);
        //circle(drawImg, ccs[t], radius[t], color, 2, 8);
        if (contours_ploy[t].size() > 5) {
            ellipse(drawImg, myellipse[t], color, 1, 8);
            minRects[t].points(pts);
            for (int r = 0; r < 4; r++) {
                line(drawImg, pts[r], pts[(r + 1) % 4], color, 1, 8);
            }
        }
    }

    imshow(output_win, drawImg);
    return;
}

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