public CartoonEffect(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
// Fill list of filters
List<string> filters = new List<string>();
filters.Add("None");
filters.Add("Gaussian (3x3)");
filters.Add("Gaussian (5x5)");
filters.Add("Gaussian (7x7)");
filters.Add("Mean (3x3)");
filters.Add("Mean (5x5)");
filters.Add("Mean (7x7)");
filters.Add("Median (3x3)");
filters.Add("Median (5x5)");
filters.Add("Median (7x7)");
filters.Add("Median (9x9)");
filters.Add("Low pass (3x3)");
filters.Add("Low pass (5x5)");
filters.Add("Sharpen (3x3)");
filters.Add("Sharpen (5x5)");
filters.Add("Sharpen (7x7)");
cmbFilters.ItemsSource = filters;
cmbFilters.SelectedIndex = 0;
}
/// <summary>
/// Main Window constructor. Here we initialize the state of some menu items
/// as well as checking the visibility of the status bar.
/// </summary>
public MainWindow() {
m_data = new ImageData();
m_vm = new ViewModel();
InitializeComponent();
DataContext = m_vm;
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
undo.IsEnabled = false;
redo.IsEnabled = false;
preferences.IsEnabled = false;
if (statusBar.Visibility == Visibility.Visible) {
statusBar.Visibility = Visibility.Visible;
statusBarShowHide.IsChecked = true;
} else {
statusBar.Visibility = Visibility.Collapsed;
statusBarShowHide.IsChecked = false;
}
}
public static void Save(ImageFormat format, ImageData data) {
ImageCodecInfo codec = GetEncoder(ImageFormat.Jpeg);
Encoder quality = Encoder.Quality;
EncoderParameters encoderArray = new EncoderParameters(1);
EncoderParameter encoder = new EncoderParameter(quality, 85L);
encoderArray.Param[0] = encoder;
data.M_bitmap.Save(data.M_outputFilename, codec, encoderArray);
}
public OilPaintEffect(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
cmbKernelSize.SelectedIndex = 0;
}
/// <summary>
/// Contrast <c>constructor</c>
/// Here we initialiaze the images and also we set the focus at the textBox being used.
/// </summary>
public Contrast(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
sldContrast.Focus();
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
}
/// <summary>
/// Noise Reduction (Mean filter) <c>constructor</c>.
/// Here we initialiaze the images and also we set the default kernel.
/// </summary>
public NoiseReductionMean(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
three.IsChecked = true;
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
}
/// <summary>
/// Salt-and-Pepper Noise generator (Black/White) <c>constructor</c>.
/// Here we initialiaze the images and also we set the focus at the textBox being used.
/// </summary>
public SaltPepperNoiseBW(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
textboxNoiseBW.Focus();
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
}
public GradientBased(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
m_backgroundWorker = new BackgroundWorker();
m_backgroundWorker.WorkerReportsProgress = false;
m_backgroundWorker.WorkerSupportsCancellation = false;
m_backgroundWorker.DoWork += backgroundWorker_DoWork;
m_backgroundWorker.RunWorkerCompleted += backgroundWorker_RunWorkerCompleted;
// Fill list of filters
List<string> filters = new List<string>();
filters.Add("Edge Detect Mono");
filters.Add("Edge Detect Gradient");
filters.Add("Sharpen");
filters.Add("Sharpen Gradient");
cmbFilters.ItemsSource = filters;
cmbFilters.SelectedIndex = 0;
rdbFirstDerivative.IsChecked = true;
}
/// <summary>
/// Histogram <c>constructor</c>.
/// Here we initialiaze the image, the data binding of the histogram diagram and the default hitogram that will be loaded.
/// </summary>
/// <param name="data">Input image.</param>
public Histogram(ImageData data, ViewModel vm) {
m_data = data;
m_vm = vm;
InitializeComponent();
DataContext = m_vm;
gray.IsChecked = true;
}
/// <summary>
/// Information <c>constructor</c>.
/// Here we calculate all the neccesary information about some aspects of the image.
/// </summary>
/// <param name="data"></param>
public Information(ImageData data) {
m_data = data;
InitializeComponent();
CalculateData();
}