前面我们准备好了相关的库，现在开始搭建环境，本人自动化行业，就用Windorm开发吧，例子仅仅做引导，希望大家能深入。VS版本VS2017

1：打开VS建立一个WInform 项目。拉入两个控件，groupbox,picturebox放到左侧，右侧也拉入一个groupbox,里面放入两个button.一个用来选择图片，一个用来测试二值化的效果。UI效果如下：

2：本人系统win10,64位。所以用OpencvSharp的64位库。先在项目里添加引用：（net461版本）；然后在类里添加 using OpenCvSharp;最后根据个人项目平台，选择新建X64或者X86,用anycpu 容易出问题。好了，经过上面的准备，OpencvSharp相关库所有的东西都可以调用了。

3：图像少不了显示，我们新建一个类，用来管理OpencvSharp的图片显示。

  public class SharpWindows

    {



        [DllImport("user32.dll", SetLastError = true)]

        private static extern IntPtr FindWindow(string lpClassName, string lpWindowName);

        [DllImport("user32.dll", SetLastError = true)]

        private static extern int SetParent(IntPtr hWndChild, IntPtr hWndNewParent);

        private PictureBox pictureBox;

        private Control Parentform;

        public Window Opencvwin;

        public SharpWindows(PictureBox _pictureBox,string winname)

        {

            pictureBox = _pictureBox;

            Cv2.NamedWindow(winname);

            Opencvwin = new Window(winname, WindowMode.FullScreen);

            Cv2.SetWindowProperty(Opencvwin.Name, WindowProperty.Fullscreen, 1);

            IntPtr Childwin = FindWindow(null, winname);

            SetParent(Childwin, _pictureBox.Handle);

            Parentform = Control.FromHandle(_pictureBox.Handle);



        }

        public void Showimg(Mat img)

        {

            try

            {

                int width = Parentform.Width;

                int height = Parentform.Height;

                Cv2.ResizeWindow(Opencvwin.Name, width, height);

                Cv2.MoveWindow(Opencvwin.Name, Parentform.Left, Parentform.Top);

                Cv2.SetWindowProperty(Opencvwin.Name, WindowProperty.Fullscreen, 1);

                Opencvwin.ShowImage(img);



            }

            catch(Exception ex)

            {

                throw (ex);



            }



        }

    }

4.在winform主UI里面初始化一个OpencvSharp的显示窗口：(同时创建一个Mat变量)

 SharpWindows Imgwindow;

        Mat rawimg;

        public OpencvSharpWindow()

        {

            InitializeComponent();

            Imgwindow = new SharpWindows(this.pictureBox1, "MainUIwindow");

        }

5.两个button点击事件：

  private void button_Openpic_Click(object sender, EventArgs e)

        {

            try

            {

               var filename= OpenfileDlg();

                if(filename!=null&& filename!="")

                {

                    Mat img = Cv2.ImRead(filename);

                    Imgwindow.Showimg(img);

                    rawimg = img.Clone();

                    img.Dispose();

                }



            }

            catch(Exception ex )

            {

                throw (ex);



            }

        }

        private static string OpenfileDlg(string Defaultpath = null)

        {

            OpenFileDialog ofd = new OpenFileDialog();

            ofd.Title = "请选择要打开的文件";

            //多选

            ofd.Multiselect = true;

            //初始目录

            ofd.InitialDirectory = Defaultpath;

            //设定文件类型

            //   ofd.Filter = "*.bmp | *.jpg";



            ofd.ShowDialog();



            //获得在打开文件对话框中选择的文件的路径

            string path = ofd.FileName;

            return path;

        }



        private void button_Test_Click(object sender, EventArgs e)

        {

            try

            {

                if(rawimg!=null)

                {

                    //转灰度

                    Mat grayimg;

                    if (rawimg.Channels()==3)

                    {

                        grayimg = rawimg.CvtColor(ColorConversionCodes.BGR2GRAY);



                    }

                    else

                    {

                        grayimg = rawimg.Clone();

                    }

                    Imgwindow.Showimg(grayimg);

                    //bin

                    double dvalue = 0;

                    double.TryParse(textBox_ThreshValue.Text, out dvalue);

                    if(dvalue==0)

                    {

                        dvalue = 10;

                    }

                    

                    Mat binimg = grayimg.Threshold(dvalue, 255, ThresholdTypes.Binary);

                    Imgwindow.Showimg(binimg);

                    grayimg.Dispose();

                    binimg.Dispose();



                }



            }

            catch(Exception ex)

            {

                throw (ex);

            }



        }

6.代码敲完。剩下我们测试一下效果：运行前，需要将对应的下面两个dll :OpenCvSharpExtern.dll和opencv_videoio_ffmpeg411.dll这2个运行时复制到可执行目录即可,根据运行平台，有X86和X64 两种，需要注意一下。

点击打开图片按钮，选择需要显示的图片，我网上下载了一张，UI那里就有显示了，还是很直观方便的。

接着我们测试一下简单的二值化效果。在text文本框里分别填入50,100,200,220效果分别如下：

本次实例结束。希望大家动手操作，这样才能学习到东西。