//时间： //作者： //功能：自动化测试功能 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 System.IO; using OpenCvSharp; using System.Windows.Forms.DataVisualization.Charting; namespace AutoDo { public partial class FormAutoDo : Form { //全局只有一个fatorySEM //static FactoryHardware factorySEM = FactoryHardware.Instance; //ISEMControl iSEM = factorySEM.ISEM; //图像文件夹 public string m_strImgPath; //显示处理结果 public Bitmap m_bitmap; public FormAutoDo() { InitializeComponent(); } //自动对焦过程 private void button1_Click(object sender, EventArgs e) { //第一种方法 var files = Directory.GetFiles(m_strImgPath, "*.tif"); float[] values = new float[files.Length]; this.dataGridView1.Rows.Clear(); Series series = chart1.Series[0]; series.Points.Clear(); int x = 0; double smax = LoGMean(files[0]); int wdmax = int.Parse(System.IO.Path.GetFileNameWithoutExtension(files[0])); foreach (var file in files) { int wd = int.Parse(System.IO.Path.GetFileNameWithoutExtension(file)); double svalue = LoGMean(file); if (smax < svalue) { smax = svalue; wdmax = wd; } ShowData(wd, svalue); x++; } this.label1.Text = "焦距:" + wdmax.ToString(); } //选择图像文件夹 private void button2_Click(object sender, EventArgs e) { System.Windows.Forms.FolderBrowserDialog dialog = new System.Windows.Forms.FolderBrowserDialog(); dialog.Description = "选择拍图保存的文件夹"; if (dialog.ShowDialog() == System.Windows.Forms.DialogResult.OK) { if (string.IsNullOrEmpty(dialog.SelectedPath)) { MessageBox.Show("图像文件夹不能为空"); return; } m_strImgPath = dialog.SelectedPath; tBImgPath.Text = dialog.SelectedPath; } } //LoG算子计算 private double LoGMean(string a_strImgPath) { //读入Img文件 if (!File.Exists(a_strImgPath)) { return 0; } Mat src, gray_src; int kernel_size = 3; src = Cv2.ImRead(a_strImgPath); gray_src = new Mat(); src.CvtColor(ColorConversionCodes.BGR2GRAY); Mat kernel = Cv2.GetStructuringElement(MorphShapes.Cross, new OpenCvSharp.Size(10, 10)); Cv2.MorphologyEx(src, src, MorphTypes.Close, kernel); Cv2.GaussianBlur(src, src, new OpenCvSharp.Size(3, 3), 0, 0); Cv2.Laplacian(src, src, MatType.CV_8UC3, kernel_size); Cv2.ConvertScaleAbs(src, src); //图像的平均灰度 double meanValue = 0.0; meanValue = Cv2.Mean(src)[0]; return meanValue; } //梯度计算 private double Tenengrad(string a_strImgPath) { //读入Img文件 if (!File.Exists(a_strImgPath)) { return 0; } Mat src; src = Cv2.ImRead(a_strImgPath); src.CvtColor(ColorConversionCodes.BGR2GRAY); Mat kernel = Cv2.GetStructuringElement(MorphShapes.Cross, new OpenCvSharp.Size(10, 10)); Cv2.MorphologyEx(src, src, MorphTypes.Close, kernel); Cv2.GaussianBlur(src, src, new OpenCvSharp.Size(3, 3), 0, 0); Cv2.Sobel(src, src, MatType.CV_8UC1, 1, 1); //图像的平均灰度 double meanValue = 0.0; meanValue = Cv2.Mean(src)[0]; return meanValue; } //梯度计算 private double TTgrad(string a_strImgPath) { //读入Img文件 if (!File.Exists(a_strImgPath)) { return 0; } Mat src; src = Cv2.ImRead(a_strImgPath); src.CvtColor(ColorConversionCodes.BGR2GRAY); Mat kernel = Cv2.GetStructuringElement(MorphShapes.Cross, new OpenCvSharp.Size(10, 10)); Cv2.MorphologyEx(src, src, MorphTypes.Close, kernel); Mat scalex = new Mat(); Mat scaley = new Mat(); Cv2.Scharr(src, src, src.Depth(),1, 0); Cv2.ConvertScaleAbs(src, scalex); Cv2.Scharr(src, src, src.Depth(), 0, 1); Cv2.ConvertScaleAbs(src, scaley); Cv2.AddWeighted(scalex, 0.5, scaley, 0.5, 0, src); //图像的平均灰度 double meanValue = 0.0; meanValue = Cv2.Mean(src)[0]; return meanValue; } private void button3_Click(object sender, EventArgs e) { //第二种方法 var files = Directory.GetFiles(m_strImgPath, "*.tif"); float[] values = new float[files.Length]; this.dataGridView1.Rows.Clear(); Series series = chart1.Series[0]; series.Points.Clear(); double smax = Tenengrad(files[0]); int wdmax = int.Parse(System.IO.Path.GetFileNameWithoutExtension(files[0])); int x = 0; foreach (var file in files) { int wd = int.Parse(System.IO.Path.GetFileNameWithoutExtension(file)); double svalue = Tenengrad(file); if (smax < svalue) { smax = svalue; wdmax = wd; } ShowData(wd, svalue); x++; } this.label1.Text = "焦距:" + wdmax.ToString(); } //显示数据 private void ShowData(int wd, double svalue) { //绘制评价函数曲线s Series series = chart1.Series[0]; series.Points.AddXY(wd, svalue); //显示评价函数数值 int index = this.dataGridView1.Rows.Add(); this.dataGridView1.Rows[index].Cells[0].Value = wd; this.dataGridView1.Rows[index].Cells[1].Value = svalue; } private void dataGridView1_CellContentClick(object sender, DataGridViewCellEventArgs e) { } private void button4_Click(object sender, EventArgs e) { var files = Directory.GetFiles(m_strImgPath, "*.tif"); float[] values = new float[files.Length]; double smax1 = LoGMean(files[0]); int wdmax1 = int.Parse(System.IO.Path.GetFileNameWithoutExtension(files[0])); double smax2 = Tenengrad(files[0]); int wdmax2 = wdmax1; double smax3 = TTgrad(files[0]); int wdmax3 = wdmax1; int x = 0; foreach (var file in files) { int wd = int.Parse(System.IO.Path.GetFileNameWithoutExtension(file)); double svalue1 = LoGMean(file); double svalue2 = Tenengrad(file); double svalue3 = TTgrad(file); if (smax1 < svalue1) { smax1 = svalue1; wdmax1= wd; } if (smax2 < svalue2) { smax2 = svalue2; wdmax2 = wd; } if (smax3 < svalue3) { smax3 = svalue3; wdmax3 = wd; } x++; } this.label2.Text = ""; this.label2.Text = "LoG = " + wdmax1.ToString() + "，梯度 = " + wdmax2.ToString() + "，滤波 = " + wdmax3.ToString(); if (wdmax1 == wdmax2 || wdmax1 == wdmax3) { this.label2.Text += "，焦距 = " + wdmax1.ToString(); } else if (wdmax1 == wdmax2 || wdmax2 == wdmax3) { this.label2.Text += "，焦距 = " + wdmax2.ToString(); } else if (wdmax3 == wdmax2 || wdmax1 == wdmax3) { this.label2.Text += "，焦距 = " + wdmax3.ToString(); } else { this.label2.Text += "，对焦失败。"; } } private void button5_Click(object sender, EventArgs e) { //第一种方法 var files = Directory.GetFiles(m_strImgPath, "*.tif"); float[] values = new float[files.Length]; this.dataGridView1.Rows.Clear(); Series series = chart1.Series[0]; series.Points.Clear(); int x = 0; double smax = TTgrad(files[0]); int wdmax = int.Parse(System.IO.Path.GetFileNameWithoutExtension(files[0])); foreach (var file in files) { int wd = int.Parse(System.IO.Path.GetFileNameWithoutExtension(file)); double svalue = TTgrad(file); if (smax < svalue) { smax = svalue; wdmax = wd; } ShowData(wd, svalue); x++; } this.label1.Text = "焦距:" + wdmax.ToString(); } } }