WPF使用OpenCvSharp4

创建项目

安装OpenCvSharp4

在解决方案资源管理器中，右键单击项目名称，选择“管理 NuGet 包”。搜索并安装以下包：

• OpenCvSharp4
• OpenCvSharp4.Extensions
• OpenCvSharp4.runtime.win
• System.Management
  

using OpenCvSharp;
using System.Text;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Data;
using System.Windows.Documents;
using System.Windows.Input;
using System.Windows.Media;
using System.Windows.Media.Imaging;
using System.Windows.Navigation;
using System.Windows.Shapes;



namespace OpenCvDemo
{
    /// <summary>
    /// Interaction logic for MainWindow.xaml
    /// </summary>
    public partial class MainWindow : System.Windows.Window
    {
        public MainWindow()
        {
            InitializeComponent();

            OpencvTest();
        }


        private void OpencvTest()
        {
            string imgPath = "D:\\笔记\\python.jpg";
            Mat srcImage = Cv2.ImRead(imgPath);

            if (srcImage.Empty())
            {

            }
            else 
            {
                Mat hsvImage = new Mat();
                Cv2.CvtColor(srcImage, hsvImage, ColorConversionCodes.BGR2HSV);

                // 转为灰度图
                Mat grayImage = new Mat();
                Cv2.CvtColor(srcImage, grayImage, ColorConversionCodes.BGR2GRAY);

                // 高斯模糊，减少噪声
                Mat blurredImage = new Mat();
                Cv2.GaussianBlur(grayImage, blurredImage, new OpenCvSharp.Size(5, 5), 1.5);

                // Cannny算子进行边缘检测
                Mat edges = new Mat();
                Cv2.Canny(blurredImage, edges, 100, 200);

                // 显示图片
                Cv2.ImShow("原始图片", srcImage);

                Cv2.ImShow("灰度图片", grayImage);

                Cv2.ImShow("高斯模糊", blurredImage);

                Cv2.ImShow("HSV图片", hsvImage);

                Cv2.ImShow("边缘检测结果", edges);

                Cv2.WaitKey(0);

                Cv2.DestroyAllWindows();
            }


        }
    }
}

运行结果：