private async void ExtractParts(Bitmap bitmap, Bitmap originalBitmap)
{
var binarizedImage = BitmapBinarizer.Process(bitmap);
var linesTask = HoughTransform.GetLines(binarizedImage);
var circlesTask = HoughTransform.GetCircles(binarizedImage);
var strip = DoPerformStrip.IsChecked;
var viewModel = (ImagesGrid.DataContext) as ImageViewModel;
if (viewModel == null)
{
return;
}
viewModel.Clear();
var rectanglesBitmapsTask = RectanglesExtractor.Extract(bitmap, originalBitmap, binarizedImage, await linesTask, strip);
pbStatus.Value = 40;
var trianglesBitmapsTask = TrianglesExtractor.Extract(bitmap, originalBitmap, binarizedImage, await linesTask, strip);
pbStatus.Value = 60;
var circleBitmapsTask = CirclesExtractor.Extract(bitmap, originalBitmap, await circlesTask, strip);
pbStatus.Value = 80;
var rectanglesBitmaps = await rectanglesBitmapsTask;
foreach (var rectangleBitmap in rectanglesBitmaps[0])
{
viewModel.Rectangles.Add(new ImageModel(BitmapConverter.GetBitmapSource(rectangleBitmap)));
}
var trianglesBitmaps = await trianglesBitmapsTask;
foreach (var triangleBitmap in trianglesBitmaps[0])
{
viewModel.Triangles.Add(new ImageModel(BitmapConverter.GetBitmapSource(triangleBitmap)));
}
var circleBitmaps = await circleBitmapsTask;
foreach (var circlesBitmap in circleBitmaps[0])
{
viewModel.Circles.Add(new ImageModel(BitmapConverter.GetBitmapSource(circlesBitmap)));
}
PerformClassification(circleBitmaps, trianglesBitmaps, rectanglesBitmaps, viewModel);
pbStatus.Value = 100;
}
private async void ProcessFolder_Click(object sender, RoutedEventArgs e)
{
var dialog = new FolderBrowserDialog
{
SelectedPath = Environment.GetFolderPath(Environment.SpecialFolder.MyPictures)
};
var result = dialog.ShowDialog(this.GetIWin32Window());
var storage = new Dictionary <string, Bitmap>();
if (result == System.Windows.Forms.DialogResult.OK)
{
foreach (var path in Directory.EnumerateFiles(dialog.SelectedPath, "*.*", SearchOption.AllDirectories)
.Where(file => _imageFileExtensions.Any(x => file.EndsWith(x, StringComparison.OrdinalIgnoreCase))))
{
var bitmap = BitmapConverter.GetBitmap(new BitmapImage(new Uri(path)));
bitmap = (from object filterObject in FiltersMenu.ItemsSource
select(filterObject as FilterModel) into filterModel
where filterModel.Enabled
select filterModel.Filter)
.Aggregate(bitmap, (current, filter) => filter.Process(current));
var binarizedImage = BitmapBinarizer.Process(bitmap);
var linesTask = HoughTransform.GetLines(binarizedImage);
var circlesTask = HoughTransform.GetCircles(binarizedImage);
var rectanglesBitmaps = await RectanglesExtractor.Extract(bitmap, bitmap, binarizedImage, await linesTask, true);
var trianglesBitmaps = await TrianglesExtractor.Extract(bitmap, bitmap, binarizedImage, await linesTask, true);
var circleBitmaps = await CirclesExtractor.Extract(bitmap, bitmap, await circlesTask, true);
bitmap =
rectanglesBitmaps[0].Concat(trianglesBitmaps[0])
.Concat(circleBitmaps[0])
.OrderBy(b => b.Width * b.Height).Last();
storage.Add(path, bitmap);
}
}
foreach (var element in storage)
{
BilinearInterpolation.Resize(element.Value, ResizeWidth, ResizeHeight)
.Save(element.Key + ".processed.bmp", ImageFormat.Bmp);
}
}