public void Execute(object parameter)
{
var b = parameter as ViewModel;
if (b.ImageSource == null)
{
return;
}
var myBitmapImage = b.ImageSource as BitmapImage;
Bitmap bmp = BitmapConverter.BitmapImage2Bitmap(myBitmapImage);
var p = Mouse.GetPosition(Picture.PICTURE);
p.X /= Picture.PICTURE.ActualWidth / b.ImageSource.Width;
p.Y /= Picture.PICTURE.ActualHeight / b.ImageSource.Height;
if (p.X < b.Skin.Width && p.X > 0 && p.Y < b.Skin.Height && p.Y > 0)
{
var col = new Color();
col = Color.FromArgb(b.BrushColorPick.A, b.BrushColorPick.R, b.BrushColorPick.G, b.BrushColorPick.B);
bmp.SetPixel((int)p.X, (int)p.Y, col);
b.Skin = bmp;
b.ImageSource = BitmapConverter.BitmapToImageSource(bmp);
}
}
private void NoiseButton_Click(object sender, RoutedEventArgs e)
{
if (!int.TryParse(NoiseValueTextBox.Text, out _noiseValue))
{
MessageBox.Show("Bad noise value!");
return;
}
Bitmap bitmap = BitmapConverter.BitmapImage2Bitmap(_sourceImage);
var random = new Random();
var pointsHashSet = new HashSet <Point>();
int pixelsToInvert = _pixelsNumber * _noiseValue / 100;
for (int i = 0; i < pixelsToInvert; i++)
{
bool wasInverted = false;
while (!wasInverted)
{
Point point;
point.X = random.Next(0, _width);
point.Y = random.Next(0, _height);
if (pointsHashSet.Add(point))
{
Color curColor = bitmap.GetPixel(point.X, point.Y);
bitmap.SetPixel(point.X, point.Y, curColor.R > 230 ? Color.Black : Color.White);
wasInverted = true;
}
}
}
_noisedImage = BitmapConverter.Bitmap2BitmapImage(bitmap);
SourceImage.Source = _noisedImage;
}
private void AddImageMenuItem_Click(object sender, RoutedEventArgs e)
{
var openFileDialog = new OpenFileDialog
{
InitialDirectory = @"C:\Users\Dmitry\Pictures",
FilterIndex = 2,
RestoreDirectory = true
};
if (openFileDialog.ShowDialog() != null)
{
try
{
var image = new BitmapImage(new Uri(openFileDialog.FileName));
if (_height == 0)
{
_height = image.PixelHeight;
_width = image.PixelWidth;
_pixelsNumber = _width * _height;
}
_standardImages.Add(image);
_standardImageVectors.Add(GetImageVector(BitmapConverter.BitmapImage2Bitmap(image)));
}
catch (Exception ex)
{
MessageBox.Show("Error: Could not read file from disk. Original error: " + ex.Message);
}
}
}
private void RecognizeButton_Click(object sender, RoutedEventArgs e)
{
_knowledgeMatrix = new int[_pixelsNumber, _pixelsNumber];
foreach (var stdVector in _standardImageVectors)
{
for (int i = 0; i < _pixelsNumber; i++)
{
for (int j = 0; j < _pixelsNumber; j++)
{
_knowledgeMatrix[j, i] += (i == j) ? 0 : stdVector[j] * stdVector[i];
}
}
}
Bitmap sourceBitmap = BitmapConverter.BitmapImage2Bitmap(_noisedImage);
int[] sourceImageVector = GetImageVector(sourceBitmap);
int counter = 0;
int[] temp = new int[_pixelsNumber];
while (true)
{
temp = Copy(sourceImageVector);
sourceImageVector = MultiplyMatrixAndColumn(_knowledgeMatrix, sourceImageVector);
counter++;
if (IsEqual(temp, sourceImageVector))
{
ResultImage.Source = BitmapConverter.Bitmap2BitmapImage(GetImageFromVector(sourceImageVector));
MessageBox.Show("Iterations" + counter.ToString());
return;
}
}
}
private void Window_Loaded_1(object sender, RoutedEventArgs e)
{
const string baseUri = @"C:\Users\Dmitry\Pictures\DPSI\";
_knowledgeImages[0] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A")));
_width = _knowledgeImages[0].PixelWidth;
_height = _knowledgeImages[0].PixelHeight;
_pixelsNumber = _width * _height;
_knowledgeImages[1] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C")));
_knowledgeImages[2] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K")));
_knowledgeImages[3] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A2")));
_knowledgeImages[4] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C2")));
_knowledgeImages[5] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K2")));
_knowledgeImages[6] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A3")));
_knowledgeImages[7] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C3")));
_knowledgeImages[8] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K3")));
for (int i = 0; i < NumberOfImages; i++)
{
_knowledgeMatrix[i] = GetImageVector(BitmapConverter.BitmapImage2Bitmap(_knowledgeImages[i]));
}
W = new double[_pixelsNumber, NumberOfClasses];
for (int i = 0; i < _pixelsNumber; i++)
{
for (int j = 0; j < NumberOfClasses; j++)
{
W[i, j] = 1;
}
}
InitFrequency();
Y = new double[NumberOfClasses];
StartLearning();
var learningResults = new List <LearningResult>();
for (int i = 0; i < _knowledgeImages.Length; i++)
{
learningResults.Add(new LearningResult
{
Image = _knowledgeImages[i],
ClassNumnber = RecognizeClass(_knowledgeImages[i])
});
}
var learningResultsWindow = new LearningResultsWindow(learningResults);
learningResultsWindow.Show();
}
private void Render(IEnumerable<ClientMarker> mapLocations)
{
_mapBitmap?.Dispose();
var worldMapBitmapImage =
new BitmapImage(
new Uri(
"pack://application:,,,/Orcus.Administration.Resources;component/Images/world-map-black.jpg",
UriKind.Absolute));
if (mapLocations == null)
{
CurrentMapImage = worldMapBitmapImage;
_mapBitmap = BitmapConverter.BitmapImage2Bitmap(worldMapBitmapImage);
return;
}
var worldMap = BitmapConverter.BitmapImage2Bitmap(worldMapBitmapImage);
var offlineComputer =
BitmapConverter.BitmapImage2Bitmap(
new BitmapImage(
new Uri(
"pack://application:,,,/Orcus.Administration;component/Resources/Images/OfflineComputer.png",
UriKind.Absolute)));
var onlineComputer =
BitmapConverter.BitmapImage2Bitmap(
new BitmapImage(
new Uri(
"pack://application:,,,/Orcus.Administration;component/Resources/Images/OnlineComputer.png",
UriKind.Absolute)));
using (var g = Graphics.FromImage(worldMap))
{
foreach (var clientLocation in mapLocations.OrderBy(x => x.Client.IsOnline))
{
if (!clientLocation.Client.IsOnline && !RenderOfflineClients)
continue;
g.DrawImage(clientLocation.Client.IsOnline ? onlineComputer : offlineComputer,
new RectangleF(
new PointF((float) worldMap.Width/(180*2)*(clientLocation.Longitude + 180) - 8,
worldMap.Height - (float) worldMap.Height/(90*2)*(clientLocation.Latitude + 90) - 8),
new SizeF(16, 16)));
}
}
offlineComputer.Dispose();
onlineComputer.Dispose();
CurrentMapImage = BitmapConverter.ToBitmapSource(worldMap);
_mapBitmap = worldMap;
}
private void Window_Loaded_1(object sender, RoutedEventArgs e)
{
const string baseUri = @"C:\Users\Dmitry\Pictures\DPSI\";
_knowledgeImages[0] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A")));
Image1.Source = _knowledgeImages[0];
_width = _knowledgeImages[0].PixelWidth;
_height = _knowledgeImages[0].PixelHeight;
_pixelsNumber = _width * _height;
_knowledgeImages[1] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A2")));
Image2.Source = _knowledgeImages[1];
_knowledgeImages[2] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "A3")));
Image3.Source = _knowledgeImages[2];
_knowledgeImages[3] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C")));
Image4.Source = _knowledgeImages[3];
_knowledgeImages[4] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C2")));
Image5.Source = _knowledgeImages[4];
_knowledgeImages[5] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "C3")));
Image6.Source = _knowledgeImages[5];
_knowledgeImages[6] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K")));
Image7.Source = _knowledgeImages[6];
_knowledgeImages[7] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K2")));
Image8.Source = _knowledgeImages[7];
_knowledgeImages[8] = new BitmapImage(new Uri(string.Format("{0}{1}.png", baseUri, "K3")));
Image9.Source = _knowledgeImages[8];
for (int i = 0; i < NumberOfImages; i++)
{
_knowledgeMatrix[i] = GetImageVector(BitmapConverter.BitmapImage2Bitmap(_knowledgeImages[i]));
}
var random = new Random();
G = new double[NumberOfClasses];
W = new double[NumberOfClasses, NumberOfClasses];
for (int i = 0; i < NumberOfClasses; i++)
{
for (int j = 0; j < NumberOfClasses; j++)
{
W[i, j] = 1 - 2 * random.NextDouble();
}
}
Y = new double[NumberOfClasses];
CalculateClustersCenters();
StartLearning();
}
private int RecognizeClass(BitmapImage image)
{
X = GetImageVector(BitmapConverter.BitmapImage2Bitmap(image));
CalculateY();
for (int i = 0; i < Y.Length; i++)
{
if (Y[i] == Y.Max())
{
return(i + 1);
}
}
return(0);
}
private void RecognizeButton_Click(object sender, RoutedEventArgs e)
{
X = GetImageVector(BitmapConverter.BitmapImage2Bitmap(_noisedImage));
CalculateG();
CalculateY();
Result1.Content = Y[0];
Result4.Content = Y[1];
Result7.Content = Y[2];
for (int i = 0; i < Y.Length; i++)
{
if (Y[i] == Y.Max())
{
MessageBox.Show("Class: " + (i + 1).ToString());
}
}
}
private void BtnProccess_OnClick(object sender, RoutedEventArgs e)
{
int limit = 1;
IDetectingAlgorithm algrorithm = (IDetectingAlgorithm)SelectedAlgorithm.SelectedItem;
if (Limit.Text != "" && Int32.TryParse(Limit.Text, out limit) && algrorithm != null && this._source != null)
{
Bitmap bitmap = BitmapConverter.BitmapImage2Bitmap(this._source);
Bitmap edges = algrorithm.DetecteEdges(bitmap, limit);
BitmapImage imageEdges = BitmapConverter.Bitmap2ImageSource(edges);
FilteredImage.Source = imageEdges;
}
else
{
MessageBox.Show(
"Please input a limit for filtering. \nYou may not select file. \nYou have to select algorithm for filtering");
}
}