28 OpenCV 轮廓周围绘制图形

approxPolyDP 轮廓周围绘制矩形

approxPolyDP(InputArray  curve, OutputArray approxCurve,  double  epsilon,  bool  closed)
    curve:输入点集,二维点向量的集合
    approxCurve:输出点集,表示拟合曲线或多边形,数据与输入参数 curve 一致
    epsilon:指定的近似精度,原始曲线与近似曲线之间的最大距离
    close: 闭合标志,True 表示闭合多边形,False 表示多边形不闭合

boundingRect

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

minAreaRect

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

绘制圆和椭圆

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

示例

#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:/vcprojects/images/hotball.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);
	namedWindow(output_win);
	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;
}

在这里插入图片描述

相关推荐

  1. opencv如何寻找图片轮廓

    2024-03-22 22:36:03       31 阅读
  2. OpenCV-绘制图形

    2024-03-22 22:36:03       40 阅读
  3. opencv+python(图形绘制)

    2024-03-22 22:36:03       38 阅读
  4. opencv通过轮廓点生成闭合图像

    2024-03-22 22:36:03       56 阅读

最近更新

  1. docker php8.1+nginx base 镜像 dockerfile 配置

    2024-03-22 22:36:03       94 阅读
  2. Could not load dynamic library ‘cudart64_100.dll‘

    2024-03-22 22:36:03       100 阅读
  3. 在Django里面运行非项目文件

    2024-03-22 22:36:03       82 阅读
  4. Python语言-面向对象

    2024-03-22 22:36:03       91 阅读

热门阅读

  1. 面试算法-64-零钱兑换

    2024-03-22 22:36:03       39 阅读
  2. SQL语句之VIEW视图和空值

    2024-03-22 22:36:03       36 阅读
  3. 1185: 手机打字

    2024-03-22 22:36:03       44 阅读
  4. 监督学习(Supervised Learning)的概念和示例

    2024-03-22 22:36:03       37 阅读
  5. 数据结构——单向链表(C语言版)

    2024-03-22 22:36:03       42 阅读
  6. 春招问题总结

    2024-03-22 22:36:03       48 阅读
  7. Python 网络编程

    2024-03-22 22:36:03       38 阅读
  8. mybatisplus 枚举转换

    2024-03-22 22:36:03       34 阅读
  9. android中(activity中)按键事件的处理

    2024-03-22 22:36:03       40 阅读