// 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)
{
backgroundWorker.ReportProgress(0, "Working...");
filteredImage = (Bitmap)pictureBox1.Image.Clone();
int numClusters = (int)numericUpDown2.Value;
int maxIterations = (int)numericUpDown3.Value;
double accuracy = (double)numericUpDown4.Value;
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)));
}
FCM alg = new FCM(points, centroids, 2, filteredImage, (int)numericUpDown2.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;
pictureBox2.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
pictureBox2.Image = (Bitmap)alg.getProcessedImage.Clone();
alg.getProcessedImage.Save("segmented.png");
// 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);
}
}
}
// Save the image for each segmented cluster
for (int i = 0; i < centroids.Count; i++)
{
bmapArray[i].Save("Cluster" + i + ".png");
}
// 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();
}
// 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)
{
backgroundWorker.ReportProgress(0, "Working...");
filteredImage = (Bitmap)pictureBox1.Image.Clone();
int numClusters = (int)numericUpDown2.Value;
int maxIterations = (int)numericUpDown3.Value;
double accuracy = (double)numericUpDown4.Value;
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)));
}
FCM alg = new FCM(points, centroids, 2, filteredImage, (int)numericUpDown2.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;
pictureBox2.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
pictureBox2.Image = (Bitmap)alg.getProcessedImage.Clone();
alg.getProcessedImage.Save("segmented.png");
// 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);
}
}
}
// Save the image for each segmented cluster
for (int i = 0; i < centroids.Count; i++)
{
bmapArray[i].Save("Cluster" + i + ".png");
}
// 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();
}
