创建包围轮廓的圆形边
视频讲解如下：
在上一节中，给大家演示了最小矩形的轮廓识别，在本章节中给大家再演示一下如何进行轮廓的最小圆形检测，当前代码同样的是在毛星云的代码基础上进行扩展优化的。
C#、C++、Python三种版本的效果其实是一样的，我这里就拿C#的版本来做个演示。
当前系列所有demo下载地址：
https://github.com/GaoRenBao/OpenCv4-Demo
不同编程语言对应的OpenCv版本以及开发环境信息如下：
语言 | OpenCv版本 | IDE |
C# | OpenCvSharp4.4.8.0.20230708 | Visual Studio 2022 |
C++ | OpenCv-4.5.5-vc14_vc15 | Visual Studio 2022 |
Python | OpenCv-Python (4.6.0.66) | PyCharm Community Edition 2022.1.3 |
演示效果如下：
C#版本代码如下：
C#版本需要安装“OpenCvSharp4”、“OpenCvSharp4.runtime.win”两个库才行。不然会报错。
如果需要使用“ BitmapConverter.ToBitmap”操作，则需要追加安装“OpenCvSharp4.Extensions”库。
using OpenCvSharp;
using System.Collections.Generic;
namespace demo
{
internal class Program
{
static void Main(string[] args)
{
RNG rng = new RNG(12345);
Mat image = Mat.Zeros(600, 600, MatType.CV_8UC3);
while (true)
{
List<Point> points = new List<Point>(); //点值
//参数初始化
int count = rng.Uniform(10, 50);//随机生成点的数量
points.Clear();
//随机生成点坐标
for (int i = 0; i < count; i++)
{
Point point;
point.X = rng.Uniform(image.Cols / 4, image.Cols * 3 / 4);
point.Y = rng.Uniform(image.Rows / 4, image.Rows * 3 / 4);
points.Add(point);
}
// 绘制出随机颜色的点
image = Mat.Zeros(600, 600, MatType.CV_8UC3);
for (int i = 0; i < count; i++)
Cv2.Circle(image, points[i], 3, new Scalar(rng.Uniform(0, 255), rng.Uniform(0, 255), rng.Uniform(0, 255)), -1, LineTypes.AntiAlias);
//对给定的 2D 点集，寻找最小面积的包围圆
Point2f center;
float radius = 0;
Cv2.MinEnclosingCircle(points, out center, out radius);
//绘制出最小面积的包围圆
Cv2.Circle(image, (int)center.X, (int)center.Y, (int)radius, new Scalar(rng.Uniform(0, 255), rng.Uniform(0, 255), rng.Uniform(0, 255)), 2, LineTypes.AntiAlias);
//显示效果图
Cv2.ImShow("矩形包围示例", image);
Cv2.WaitKey(0);
}
}
}
}
C++版本代码如下：
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace cv;
using namespace std;
int main()
{
//改变console字体颜色
system("color 1F");
//初始化变量和随机值
Mat image(600, 600, CV_8UC3);
RNG& rng = theRNG();
//循环，按下ESC,Q,q键程序退出，否则有键按下便一直更新
while (1)
{
//参数初始化
int count = rng.uniform(3, 103);//随机生成点的数量
vector<Point> points;//点值
//随机生成点坐标
for (int i = 0; i < count; i++)
{
Point point;
point.x = rng.uniform(image.cols / 4, image.cols * 3 / 4);
point.y = rng.uniform(image.rows / 4, image.rows * 3 / 4);
points.push_back(point);
}
//对给定的 2D 点集，寻找最小面积的包围圆
Point2f center;
float radius = 0;
minEnclosingCircle(Mat(points), center, radius);
//绘制出随机颜色的点
image = Scalar::all(0);
for (int i = 0; i < count; i++)
circle(image, points[i], 3, Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255)), FILLED, LINE_AA);
//绘制出最小面积的包围圆
circle(image, center, cvRound(radius), Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255)), 2, LINE_AA);
//显示窗口
imshow("圆形包围示例", image);
waitKey(0);
}
return 0;
}
Python版本代码如下：
import cv2
import numpy as np
import random
while (True):
# 随机生成点的数量
count = random.randint(30,50)
point = []
for i in range(count):
x = random.randint(600 / 4, 600 * 3 / 4)
y = random.randint(600 / 4, 600 * 3 / 4)
point.append([x,y])
points = np.array(point, np.int32) # 点值
# 绘制出随机颜色的点
image = np.zeros((600, 600, 3), np.uint8)
for i in range(count):
cv2.circle(image,(points[i][0],points[i][1]),3, (random.randint(0,255), random.randint(0,255), random.randint(0,255)),-1)
# 对给定的 2D 点集，寻找最小面积的包围圆
(x, y), radius = cv2.minEnclosingCircle(points)
center = (int(x), int(y))
cv2.circle(image,center, int(radius), (random.randint(0,255), random.randint(0,255), random.randint(0,255)),2)
cv2.imshow("image", image)
cv2.waitKey(0)
