winform+OpenCvSharp 实现图片找茬

public unsafe partial class 图片找茬 : Form
    {
        public 图片找茬()
        {
            InitializeComponent();
        }
        private string selectedImagePath1;
        private string selectedImagePath2;
        private void pictureBox1_Click(object sender, EventArgs e)
        {
            using OpenFileDialog openFileDialog = new OpenFileDialog();
            openFileDialog.Filter = "Image Files (*.bmp, *.jpg, *.png)|*.bmp;*.jpg;*.png";
            if (openFileDialog.ShowDialog() == DialogResult.OK)
            {
                selectedImagePath1 = openFileDialog.FileName;
                Image selectedImage = Image.FromFile(selectedImagePath1);
                if (pictureBox1.Image != null)
                    pictureBox1.Image.Dispose();
                pictureBox1.Image = selectedImage;
            }
        }

        private void pictureBox2_Click(object sender, EventArgs e)
        {
            using OpenFileDialog openFileDialog = new OpenFileDialog();
            openFileDialog.Filter = "Image Files (*.bmp, *.jpg, *.png)|*.bmp;*.jpg;*.png";
            if (openFileDialog.ShowDialog() == DialogResult.OK)
            {
                selectedImagePath2 = openFileDialog.FileName;
                Image selectedImage = Image.FromFile(selectedImagePath2);
                if (pictureBox2.Image != null)
                    pictureBox2.Image.Dispose();
                pictureBox2.Image = selectedImage;
            }
        }
        private void Set()
        {
            //加载两张图片
            using Mat image1 = Cv2.ImRead(selectedImagePath1);
            using Mat image2 = Cv2.ImRead(selectedImagePath2);
            using Mat result_image = image2.Clone();
            // 调整图像尺寸使其匹配
            if (image1.Size() != image2.Size())
            {
                Cv2.Resize(image1, image1, image2.Size());
            }// 调整图像通道数使其匹配
            if (image1.Channels() != image2.Channels())
            {
                if (image1.Channels() == 1 && image2.Channels() == 3)
                {
                    Cv2.CvtColor(image1, image1, ColorConversionCodes.GRAY2BGR);
                }
                else if (image1.Channels() == 3 && image2.Channels() == 1)
                {
                    Cv2.CvtColor(image2, image2, ColorConversionCodes.GRAY2BGR);
                }
            }

            //创建一个空的Mat对象用于存储差异
            using Mat difference = new Mat();
            //计算两张图片的差异
            Cv2.Absdiff(image1, image2, difference);
            //模糊
            Cv2.Blur(difference, difference, new OpenCvSharp.Size(5, 5));
            //转换为灰度图
            Cv2.CvtColor(difference, difference, ColorConversionCodes.BGR2GRAY);
            //膨胀5次
            using Mat kernel = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(5, 5));
            Cv2.Dilate(difference, difference, kernel, null, 5);
            //二值化
            Cv2.Threshold(difference, difference, 20, 200, ThresholdTypes.Binary);
            //找出轮廓
            OpenCvSharp.Point[][] contours = null;
            HierarchyIndex[] hierarchly;
            Cv2.FindContours(difference, out contours, out hierarchly, RetrievalModes.External, ContourApproximationModes.ApproxNone, new OpenCvSharp.Point(0, 0));
            Rect rect;
            for (int i = 0; i < contours.Length; i++)
            {
                rect = Cv2.BoundingRect(contours[i]);
                Cv2.Rectangle(result_image, rect, new Scalar(0, 255, 0), 2, LineTypes.Link8);
            }
            if (pictureBox3.Image != null)
                pictureBox3.Image.Dispose();
            pictureBox3.Image = new Bitmap(result_image.ToMemoryStream());
        }

        private void button1_Click(object sender, EventArgs e)
        {
            if (string.IsNullOrEmpty(selectedImagePath1) || string.IsNullOrEmpty(selectedImagePath2))
            {
                MessageBox.Show("请选择图片");
                return;
            }
            Set();
        }
    }