private void btnSearch_Click(object sender, EventArgs e) { lvClusters.Items.Clear(); lvClusters.Refresh(); int k = Application.StartupPath.IndexOf("\\bin"); string sub = Application.StartupPath.Substring(k); string ImagePath = Application.StartupPath.Substring(0, Application.StartupPath.Length - sub.Length) + "\\AnhData"; //DirectoryInfo directoryInfo; //FileInfo[] files; try { //directoryInfo = new DirectoryInfo(ImagePath); //files = directoryInfo.GetFiles("*.png", SearchOption.AllDirectories); //exit = false; Database db = new Database(); DataTable dt = db.RunProcedureGet("usp_ImageGetAll"); var processImagesDelegate = new ProcessImagesDelegate(ProcessImages); processImagesDelegate.BeginInvoke(dt, null, null); } catch (DirectoryNotFoundException) { MessageBox.Show("Path not valid.", "Invalid path", MessageBoxButtons.OK, MessageBoxIcon.Error); return; } catch (ArgumentException) { MessageBox.Show("Path not valid.", "Invalid path", MessageBoxButtons.OK, MessageBoxIcon.Error); return; } }
private void LoadImageFromDB() { int k = Application.StartupPath.IndexOf("\\bin"); string sub = Application.StartupPath.Substring(k); string ImagePath = Application.StartupPath.Substring(0, Application.StartupPath.Length - sub.Length); Database db = new Database(); DataTable dt=db.RunProcedureGet("usp_ImageGetAll"); ImageList imglist = new ImageList(); foreach (DataRow row in dt.Rows) { Image image= Image.FromFile(ImagePath+row["Url"].ToString()); imglist.Images.Add(image); lvImageDB.Items.Add(new ListViewItem(row["ImageName"].ToString())); } imglist.ImageSize = new System.Drawing.Size(200, 200); lvImageDB.LargeImageList = imglist; for (int i=0; i < lvImageDB.Items.Count; i++) { lvImageDB.Items[i].ImageIndex = i; } lvImageDB.Refresh(); }
// This method will run on a thread other than the UI thread. // Be sure not to manipulate any Windows Forms controls created // on the UI thread from this method. private void backgroundWorker1_DoWork(object sender, DoWorkEventArgs e) { Database dataBase = new Database(); backgroundWorker.ReportProgress(0, "Working..."); filteredImage = (Bitmap)picPreview.Image.Clone(); int numClusters = (int)txtNumClusters.Value; int maxIterations = (int)txtIterations.Value; double accuracy = 0.00001; List<ClusterPoint> points = new List<ClusterPoint>(); for (int row = 0; row < originalImage.Width; ++row) { for (int col = 0; col < originalImage.Height; ++col) { Color c2 = originalImage.GetPixel(row, col); points.Add(new ClusterPoint(row, col, c2)); } } List<ClusterCentroid> centroids = new List<ClusterCentroid>(); //Create random points to use a the cluster centroids Random random = new Random(); for (int i = 0; i < numClusters; i++) { int randomNumber1 = random.Next(sourceImage.Width); int randomNumber2 = random.Next(sourceImage.Height); centroids.Add(new ClusterCentroid(randomNumber1, randomNumber2, filteredImage.GetPixel(randomNumber1, randomNumber2))); } /*foreach (ClusterPoint p in points) { List<SqlParameter> listParam = new List<SqlParameter>(4); listParam.Add(new SqlParameter("@x",p.X)); listParam.Add(new SqlParameter("@y", p.Y)); listParam.Add(new SqlParameter("@Color", p.PixelColor.ToArgb())); listParam.Add(new SqlParameter("@ImageId ", 1)); dataBase.RunProcedure("usp_ClusterPointsInsert", listParam.ToArray()); }*/ KMeansAlgorithm alg = new KMeansAlgorithm(points, centroids, 2, filteredImage, (int)txtNumClusters.Value); int k = 0; do { if ((backgroundWorker.CancellationPending == true)) { e.Cancel = true; break; } else { k++; alg.J = alg.CalculateObjectiveFunction(); alg.CalculateClusterCentroids(); alg.Step(); double Jnew = alg.CalculateObjectiveFunction(); Console.WriteLine("Run method i={0} accuracy = {1} delta={2}", k, alg.J, Math.Abs(alg.J - Jnew)); toolStripStatusLabel2.Text = "Precision " + Math.Abs(alg.J - Jnew); // Format and display the TimeSpan value. string elapsedTime = String.Format("{0:00}:{1:00}:{2:00}.{3:00}", stopWatch.Elapsed.Hours, stopWatch.Elapsed.Minutes, stopWatch.Elapsed.Seconds, stopWatch.Elapsed.Milliseconds / 10); toolStripStatusLabel3.Text = "Duration: " + elapsedTime; picProcessed.Image = (Bitmap)alg.getProcessedImage; backgroundWorker.ReportProgress((100 * k) / maxIterations, "Iteration " + k); if (Math.Abs(alg.J - Jnew) < accuracy) break; } } while (maxIterations > k); Console.WriteLine("Done."); stopWatch.Stop(); // Get the elapsed time as a TimeSpan value. TimeSpan ts = stopWatch.Elapsed; // Save the segmented image picProcessed.Image = (Bitmap)alg.getProcessedImage.Clone(); // Create a new image for each cluster in order to extract the features from the original image double[,] Matrix = alg.U; Bitmap[] bmapArray = new Bitmap[centroids.Count]; for (int i = 0; i < centroids.Count; i++) { bmapArray[i] = new Bitmap(sourceImage.Width, sourceImage.Height, PixelFormat.Format32bppRgb); } for (int j = 0; j < points.Count; j++) { for (int i = 0; i < centroids.Count; i++) { ClusterPoint p = points[j]; if (Matrix[j, i] == p.ClusterIndex) { bmapArray[i].SetPixel((int)p.X, (int)p.Y, p.OriginalPixelColor); } } } k = Application.StartupPath.IndexOf("\\bin"); string sub = Application.StartupPath.Substring(k); string ImagePath = Application.StartupPath.Substring(0, Application.StartupPath.Length - sub.Length) + "\\AnhData\\"; DirectoryInfo dirInfo = new DirectoryInfo(ImagePath); if (dirInfo.Exists) dirInfo.Create(); List<SqlParameter> listParam = new List<SqlParameter>(4); string imageName = ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1); listParam.Add(new SqlParameter("@ImageName", imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) + "_segmented.png")); listParam.Add(new SqlParameter("@Url", "\\AnhData\\" + imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) + "_segmented.png")); listParam.Add(new SqlParameter("@Width", picPreview.Image.Width)); listParam.Add(new SqlParameter("@Height", picPreview.Image.Height)); dataBase.RunProcedure("usp_ImageInsert", listParam.ToArray()); alg.getProcessedImage.Save(ImagePath + imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) + "_segmented.png"); // Save the image for each segmented cluster for (int i = 0; i < centroids.Count; i++) { bmapArray[i].Save(ImagePath + imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) + "_" + i + ".png"); List<SqlParameter> listParam1 = new List<SqlParameter>(4); listParam1.Add(new SqlParameter("@ImageName", imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) + "_" + i + ".png")); listParam1.Add(new SqlParameter("@Url", "\\AnhData\\" + imageName.Substring(0, ofdCluster.FileName.Substring(ofdCluster.FileName.LastIndexOf(@"\") + 1).Length - imageName.Substring(imageName.LastIndexOf(".")).Length) +"_" + i + ".png")); listParam1.Add(new SqlParameter("@Width", picPreview.Image.Width)); listParam1.Add(new SqlParameter("@Height", picPreview.Image.Height)); dataBase.RunProcedure("usp_ImageInsert", listParam1.ToArray()); /*DataTable dt = dataBase.RunProcedureGet("usp_ImageGetAfterInsert"); if (dt.Rows.Count > 0) { List<SqlParameter> listParam1 = new List<SqlParameter>(4); listParam1.Add(new SqlParameter("@x", centroids[i].X)); listParam1.Add(new SqlParameter("@y", centroids[i].Y)); listParam1.Add(new SqlParameter("@Color", centroids[i].PixelColor.ToArgb())); listParam1.Add(new SqlParameter("@ImageId ", dt.Rows[0][0])); dataBase.RunProcedure("usp_ClusterCentroidsInsert", listParam1.ToArray()); }*/ } // Resource cleanup...more work to do here to avoid memory problems!!! backgroundWorker.ReportProgress(100, "Done in " + k + " iterations."); ////alg.Dispose(); for (int i = 0; i < points.Count; i++) { points[i] = null; } for (int i = 0; i < centroids.Count; i++) { centroids[i] = null; } alg = null; //centroids.Clear(); //points.Clear(); }