opencvSharp实验三则

实验环境：Visual Studio 2015

实验1：色彩替换

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;

namespace opencvSharpTest2console
{
    class Program
    {
        static void Main(string[] args)
        {
           test();

        }
        static void test()
        {
            Mat mat = new Mat("pic4.jpg", ImreadModes.Color);

            for (int y = 0; y < mat.Height; y++)
            {
                for (int x = 0; x < mat.Width; x++)
                {
                    Vec3b color = mat.Get(y, x);//获取RGB向量
                    byte temp = color.Item0;//Item012分别是BGR
                    color.Item0 = color.Item2; // 将Red赋值给Blue
                    color.Item2 = temp;        // 将Blue赋值给Red
                    mat.Set(y, x, color);
                }
            }
            Cv2.NamedWindow("win1",WindowMode.AutoSize);//建立一个窗体，自动大小
            Cv2.ImShow("win1", mat);//将矩阵显示在窗体win1
            Cv2.WaitKey(0);//等待按键，如果没有这个函数图片不显示
            //   Thread.Sleep(5600);
        }
    }
}

原图和处理后：

实验2：利用霍夫方法追踪视频中的圆形

 static void cameraOpen()
        {
            VideoCapture cap = new VideoCapture(0);
            int time;
            int pos = 0;
            CvTrackbarCallback setThreshold = new CvTrackbarCallback(func);
            int thresholdwide = 0;
            Cv2.NamedWindow("threshold");
            CvTrackbar tk = new CvTrackbar("Threshold", "threshold", thresholdwide,255, setThreshold);
            
            double rate = 25.0;
            Size videosize = new Size(320,240);
            Mat frame,grayframe;
            grayframe = new Mat();
            List aid = new List();//用于霍夫圆形的位置和半径的记录，x,y,radio
            OpenCvSharp.CircleSegment[] circles = new CircleSegment[200];
            while (cap.IsOpened())
            {
                 frame  = cap.RetrieveMat();//获取视频帧
                Cv2.CvtColor(frame, grayframe, ColorConversionCodes.RGB2GRAY);//转换成为灰度
               // Cv2.ImShow("video", frame);//显示原始视频
                Cv2.GaussianBlur(grayframe, grayframe,new Size(7, 7), 2, 2); //高斯模糊
                Cv2.Threshold(grayframe, grayframe, tk.Pos, 255, ThresholdTypes.Binary);//二值化
               circles = Cv2.HoughCircles(grayframe,HoughMethods.Gradient,2,10);//设置并执行霍夫找圆函数
                Scalar circlecolor = new Scalar(255, 0, 0);//用于描绘边缘的颜色
                for (int i = 0; i < circles.Count(); i++) //绘制获取到的圆形
                {
                    Point point = new Point((int)circles[i].Center.X, (int)circles[i].Center.Y);
                    if (point.X > 0)
                    {
                        Cv2.Circle(frame, point,Convert.ToInt16( circles[i].Radius), circlecolor);//绘制圆
                    }

                }
                Cv2.ImShow("process", frame);//显示处理后的视频
                Cv2.ImShow("threshold", grayframe);
                if (Cv2.WaitKey(20) == 27)//如果按下esc按键则退出
                {
                    break;
                }


            }
        }