private void btnGaussSmooth_Click(object sender, EventArgs e)
{
int.TryParse(ClustorBox.Text, out K);
if (string.IsNullOrWhiteSpace(ClustorBox.Text))
{
MessageBox.Show("Please enter number of cluster !");
}
else if (int.Parse(ClustorBox.Text) > distinct_colors || int.Parse(ClustorBox.Text) < 1)
{
MessageBox.Show("Invalid number of clusters !");
}
else
{
List <List <RGBPixel> > groups = new List <List <RGBPixel> >();
RGBPixel[, ,] Update = new RGBPixel[256, 256, 256];
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ALL_FUNCTIONS.Build_tree();
ALL_FUNCTIONS.buildAdjacencyList();
ALL_FUNCTIONS.CutEdges(K);
groups = ALL_FUNCTIONS.cluster(K);
ALL_FUNCTIONS.GetPalette(ref groups);
Update = ALL_FUNCTIONS.UpdateColor(ref groups);
ALL_FUNCTIONS.UpdatedMatrix(Update, ImageMatrix);
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
// Get the original image after make edition on it ..
ImageMatrix = ImageMatrix_Tmp.Clone() as RGBPixel[, ];
}
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
double sigma = double.Parse(txtGaussSigma.Text); // -> O(1)
int maskSize = (int)nudMaskSize.Value; // -> O(1)
RGBPixel[,] ImageFilltered = ImageMatrix; // -> O(1)
ImageFilltered = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma); //-> O(W*H)
ImageOperations.DisplayImage(ImageFilltered, pictureBox2, 0); //-> O(W*H)
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
double sigma = (double)factor.Value; // -> O(1)
int maskSize_ = (int)maskSize.Value; // -> O(1)
RGBPixel[,] ImageFilltered = ImageMatrix; // -> O(1)
ImageFilltered = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize_, sigma); //-> O(W*H)
ImageOperations.DisplayImage(ImageFilltered, PostImage, 0); //-> O(W*H)
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
double sigma = double.Parse(Seed.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
RGBPixel asd = ImageMatrix[1, 1];
txtWidth.Text = asd.red.ToString();
txtHeight.Text = asd.green.ToString();
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
int K = int.Parse(ClusterNumber.Text);
Cluster c = new Cluster(colors, ImageMatrix);
c.getClusters(edges, colors.Count, K);
ImageMatrix = c.replace();
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
Stopwatch stopwatch = new Stopwatch();
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
stopwatch.Start();
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
stopwatch.Stop();
Console.WriteLine("time taken " + stopwatch.Elapsed + "\t");
ImageOperations.DisplayImage(ImageMatrix, pictureBox2, 0);
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
if (ImageMatrix != null)
{
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
else
{
MessageBox.Show("Please Select An Image First!");
}
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
// ImageOperations.Average();
ImageOperations.Split_KCluster(Convert.ToInt32(k.Text));
ImageOperations.avg();
ImageOperations.replace();
ImageOperations.DisplayImage(ImageOperations.Buffer, pictureBox2);
// ttt.Text = Program.time.ToString();
st.Stop();
ttt.Text = st.ElapsedMilliseconds.ToString();
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
long timeBefore = System.Environment.TickCount;
Clusters = ImageOperations.Clustering(NewEdges, ImageOperations.Globals.distinct, k);
Colors = ImageOperations.Pallete(Clusters, k, Nodes);
ImageMatrix = ImageOperations.ImageQuantization(ImageMatrix, Colors, Nodes);
long timeAfter = System.Environment.TickCount;
ImageOperations.Globals.Time += timeAfter - timeBefore;
TimeBoxS.Text = (ImageOperations.Globals.Time / 1000).ToString();
TimeBoxMS.Text = (ImageOperations.Globals.Time % 1000).ToString();
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
private void btnGaussSmooth_Click(object sender, EventArgs e)
{
int distinc = construct.distinctColor(ImageMatrix);
textBoxK.Text = distinc.ToString();
double mst = DistanceCalculators.DistanceCalculator(construct.distinct);
textBoxMST.Text = mst.ToString();
clustering.phaseOne(DistanceCalculators.distances, k);
clustering.phaseTwo(DistanceCalculators.parent, clustering.disconnected);
int[] arr = clustering.phaseTwo(DistanceCalculators.parent, clustering.disconnected);
clustering.graph(arr, clustering.disconnected);
clustering.phaseThree(clustering.g, k);
clustering.AVG(k);
clustering.Gausssmooth(ImageMatrix);
double sigma = double.Parse(txtGaussSigma.Text);
int maskSize = (int)nudMaskSize.Value;
ImageMatrix = ImageOperations.GaussianFilter1D(ImageMatrix, maskSize, sigma);
ImageOperations.DisplayImage(ImageMatrix, pictureBox2);
}
