C# 如何使用CaForge在实时网络摄像头上检测canny边缘和积分投影？

我一直在尝试检测图像上的canny边缘，它已经成功了，但我不知道如何检测它的边缘，如果我想要实时，这是我的代码，它没有错误，但canny窗口无法处理

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
//using KomCit;
using System.Drawing.Imaging;
using System.IO;
using System.Timers;
using AForge;
using AForge.Imaging.Filters;
using AForge.Video.DirectShow;
using System.Threading;

namespace canny_video
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
        private FilterInfoCollection CaptureDevice;
        private VideoCaptureDevice FinalFrame;

        void FinalFrame_NewFrame(object sender, AForge.Video.NewFrameEventArgs eventArgs)
        {
            CameraBox.Image = (Bitmap)eventArgs.Frame.Clone();
        }

        private static Image resizeImage(Image imgToResize, Size size)
        {
            return (Image)(new Bitmap(imgToResize, size));
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            //timer1.Enabled = true;
            CaptureDevice = new FilterInfoCollection(FilterCategory.VideoInputDevice);
            foreach (FilterInfo Device in CaptureDevice)
            {
                listDevice.Items.Add(Device.Name);

            }
            listDevice.SelectedIndex = 0;
            FinalFrame = new VideoCaptureDevice();
        }

        private void start_Click(object sender, EventArgs e)
        {
            FinalFrame = new VideoCaptureDevice(CaptureDevice[listDevice.SelectedIndex].MonikerString);
            FinalFrame.NewFrame += new AForge.Video.NewFrameEventHandler(FinalFrame_NewFrame);
            FinalFrame.Start();
            //CannyBox.Image = (Bitmap)CameraBox.Image.Clone();    //capture image bitmap
            //Bitmap gambar = new Bitmap(CameraBox.Image);
            Bitmap gambar = new Bitmap(CameraBox.Image);
            Grayscale gray = new Grayscale(0.2125, 0.7154, 0.0721);
            CannyEdgeDetector cany = new CannyEdgeDetector(0, 70);
            Bitmap hasil = cany.Apply(gray.Apply(gambar));
            // BlobsFiltering blob = new BlobsFiltering(0, 0, 20, 20);
            //Bitmap hasil = blob.Apply(gray.Apply(gambar));
            //CannyBox.Width = gambar.Width;
            //CannyBox.Height = gambar.Height;
            CannyBox.Image = hasil;
        }



        private void Form1_FormClosing(object sender, FormClosingEventArgs e)
        {
            if (FinalFrame.IsRunning == true)
            {
                FinalFrame.Stop();
            }
        }
    }
}

我的上述问题已解决，谢谢： 但我还有一个积分投影的问题，我不知道怎么做。 请帮助，提前谢谢您

一些评论：

您的两个私有变量的名称非常混乱。CaptureDevice是计算机上所有捕获设备的集合，而FinalFrame是捕获设备。 接收时，您不会在位图上寻找精明的边缘。 NewFrame事件处理程序在流线程中运行，因此您应该在其中使用.BeginInvoke使其可供UI线程使用。 你可以做什么：

在_NewFrame处理程序中，使用BeginInvoke将克隆的图像传输到ProcessCameraImage方法，该方法将因此在UI线程上运行。 在此方法中应用canny边缘检测。 然后将结果分配给图片框。

---

注意：我不知道canny边缘检测有多需要CPU。如果代价高昂，在UI线程上执行可能会阻止用户交互。在这种情况下，您可以在流线程中执行此操作，并且只传输处理后的图像以供显示。但这可能会迫使相机降低帧速率，具体取决于所需的时间

谢谢你的回答，刚才已经解决了，我修改了，不知怎么解决了

代码如下：

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using AForge;
using AForge.Imaging;
using AForge.Imaging.Filters;
using AForge.Video;
using AForge.Video.DirectShow;
using System.Drawing.Imaging;       //Save P2
using System.IO;                    //Save P2

namespace AForgeCamera
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }


        Bitmap video;

        private FilterInfoCollection CaptureDevice;
        private VideoCaptureDevice FinalFrame;
        int mode;



        private void Form1_Load(object sender, EventArgs e)
        {
            CaptureDevice = new FilterInfoCollection(FilterCategory.VideoInputDevice);
            foreach (FilterInfo Device in CaptureDevice)
            {
                comboBox1.Items.Add(Device.Name);
            }
            comboBox1.SelectedIndex = 0;
            FinalFrame = new VideoCaptureDevice();
        }

        private void button1_Click(object sender, EventArgs e)      //Tombol Start
        {
            FinalFrame = new VideoCaptureDevice(CaptureDevice[comboBox1.SelectedIndex].MonikerString);
            FinalFrame.NewFrame += new NewFrameEventHandler(FinalFrame_NewFrame);
            FinalFrame.Start();
        }
        void FinalFrame_NewFrame(object sender, NewFrameEventArgs eventArgs)
        {
            video = (Bitmap)eventArgs.Frame.Clone();
            Bitmap video2 = (Bitmap)eventArgs.Frame.Clone();
            if (mode==1)
            {
                Grayscale gray = new Grayscale(0.2125, 0.7154, 0.0721);
                Bitmap video3 = gray.Apply(video2);
                CannyEdgeDetector canny = new CannyEdgeDetector(0, 70);
                canny.ApplyInPlace(video3);
                pictureBox2.Image = video3;
            }
            pictureBox1.Image = video;
        }

        private void Form1_FormClosing(object sender, FormClosingEventArgs e)
        {
            if (FinalFrame.IsRunning == true)
            {
                FinalFrame.Stop();
            }
        }

        private void btnTrackingObject_Click(object sender, EventArgs e)
        {
            mode = 1;
        }


    }
}

---

但现在我正在研究下一个问题，我尝试使用积分投影来检测对象的位置，是否可以使用一个RGE来进行检测？

谢谢你的回答，是的，检测延迟了大约5秒，你能告诉我如何减少延迟吗？这让我很烦恼