private void ProcessSharp(int m)
{
var cho = _image[_fChoose.ChoosedFile];
byte[,,] res = null;
string type = "";
switch (m)
{
case 0:
res = new Robert(cho).RobertData;
type = "-罗伯特锐化最终图";
break;
case 1:
res = new Sobel(cho).SobelData;
type = "-Sobel锐化最终图";
break;
case 2:
res = new Lap(cho).Lapla;
type = "-拉普拉斯锐化最终图";
break;
}
AddNewPic(res, cho.FileName + type, false);
}
private EnergyFunctionBase GetEnergyAlgorithm()
{
EnergyFunctionBase function;
switch (algorithmDropDown.SelectedIndex)
{
case 1:
function = new Sobel();
break;
case 2:
function = new Prewitt();
break;
case 3:
function = new PrewittSlanting();
break;
case 4:
function = new Laplacian();
break;
default:
function = new RobertsCross();
break;
}
return(function);
}
//public void ApplyCanny(double threshold = 50.0, double thresholdLink = 20.0)
//{
// if (_ImageInput == null)
// {
// return;
// }
// Image<Gray, byte> imgCanny = new Image<Gray, byte>(_ImageInput.Width, _ImageInput.Height, new Gray(0));
// imgCanny = _ImageInput.Canny(threshold, thresholdLink);
// imageBox1.Image = imgCanny;
//}
private void sobelToolStripMenuItem_Click(object sender, EventArgs e)
{
Sobel sobel = new Sobel();
sobel.setSobelInput(_ImageInput);
imageBox1.Image = sobel.ApplySobel();
}
private void btnProcessImage_Click(object sender, EventArgs e)
{
_algoryths["Собеля"] = new Sobel(_parameterSettingForm.SobelLimit);
_algoryths["Гаусса"] = new Gauss(_parameterSettingForm.Sigma);
_algoryths["Медианный"] = new MedianFilter(_parameterSettingForm.WindowSize);
_algoryths["Скользящее окно"] = new SlidingWindow(_parameterSettingForm.WindowSize);
if (_imageIsLoaded)
{
pictureBoxResult.Image = _algoryths[cmbBox.Text].Process(new Bitmap(pictureBoxResult.Image));
return;
}
MessageBox.Show("Load image first!");
}
/// <summary>
/// Raises the <see cref="E:System.Windows.Forms.Form.Load" /> event.
/// </summary>
/// <param name="e">An <see cref="T:System.EventArgs" /> that contains the event data.</param>
protected override void OnLoad(EventArgs e)
{
base.OnLoad(e);
Cursor.Current = Cursors.WaitCursor;
try
{
// Find out which devices we have installed in the system.
IReadOnlyList <IGorgonVideoAdapterInfo> deviceList = GorgonGraphics.EnumerateAdapters();
if (deviceList.Count == 0)
{
GorgonDialogs.ErrorBox(this, "There are no suitable video adapters available in the system. This example is unable to continue and will now exit.");
GorgonApplication.Quit();
return;
}
_graphics = new GorgonGraphics(deviceList[0]);
_renderer = new GraphicsRenderer(_graphics);
_renderer.SetPanel(PanelDisplay);
// Load the compute shader.
#if DEBUG
_sobelShader = GorgonShaderFactory.Compile <GorgonComputeShader>(_graphics, Resources.ComputeShader, "SobelCS", true);
#else
_sobelShader = GorgonShaderFactory.Compile <GorgonComputeShader>(_graphics, Resources.ComputeShader, "SobelCS");
#endif
_sobel = new Sobel(_graphics, _sobelShader);
GorgonApplication.IdleMethod = Idle;
}
catch (Exception ex)
{
GorgonExample.HandleException(ex);
GorgonApplication.Quit();
}
finally
{
Cursor.Current = Cursors.Default;
}
}
/// <summary>
/// Edge detection using the Sobel algorithm. Here we create a new window from where we implement the algorithm.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void sobel_Click(object sender, RoutedEventArgs e) {
if (m_data.M_inputFilename == string.Empty || m_data.M_bitmap == null) {
MessageBox.Show("Open image first!", "ArgumentsNull", MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
try {
Sobel sobelWindow = new Sobel(m_data, m_vm);
sobelWindow.Owner = this;
sobelWindow.Show();
} catch (FileNotFoundException ex) {
MessageBox.Show(ex.Message, "FileNotFoundException", MessageBoxButton.OK, MessageBoxImage.Error);
} catch (ArgumentException ex) {
MessageBox.Show(ex.Message, "ArgumentException", MessageBoxButton.OK, MessageBoxImage.Error);
} catch (InvalidOperationException ex) {
MessageBox.Show(ex.Message, "InvalidOperationException", MessageBoxButton.OK, MessageBoxImage.Error);
} catch (IndexOutOfRangeException ex) {
MessageBox.Show(ex.Message, "IndexOutOfRangeException", MessageBoxButton.OK, MessageBoxImage.Error);
} catch (Exception ex) {
MessageBox.Show(ex.Message, "Exception", MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void Sobel_Click(object sender, EventArgs e)
{
Sobel s = new Sobel();
this.img.Image = s.Executar(mainImage.Imagem);
}
private Bitmap Compute(Bitmap inputImage)
{
// Define output array
int[,] output;
// Get the grayscale image from src
int[,] grayscale = Grayscale.FromBitmap(inputImage);
int width = grayscale.GetLength(0);
int height = grayscale.GetLength(1);
// Detect edges using sobel
int[,] edges = Sobel.Compute(grayscale);
bool[,] strucElem =
{
{ false, true, false },
{ true, true, true },
{ false, true, false }
};
// Calculate white top-hat (WTH) with plus-shaped structuring element
int[,] wth = Defaults.Combine(edges, Morphologicals.Opening(edges, strucElem), (a, b) => a - b);
// Create thresholds from the WTH
int[,] wth60 = Threshold.Compute(wth, 60);
int[,] wth30 = Threshold.Compute(wth, 30);
// Calculate Hough transform
const double STEP_SIZE = 0.25;
int[,] hough = Hough.Compute(wth60, STEP_SIZE);
int[,] houghWindow = Window.Compute(hough, 20000, int.MaxValue);
// Find and filter lines from hough transform
SortedSet <Line> lines = Lines.FindLines(houghWindow, STEP_SIZE);
lines = Lines.FilterLines(lines);
strucElem = new bool[, ]
{
{ false, false, true, false, false },
{ false, true, true, true, false },
{ true, true, true, true, true },
{ false, true, true, true, false },
{ false, false, true, false, false }
};
// Find all rectangles that somewhat resemble a card shape
IList <Card> cards = Lines.FindCardShapedRectangles(lines, width, height);
// Filter all card shaped rectangles with enough line support
int[,] dilation = Morphologicals.Dilation(wth60, strucElem);
IList <Card> filteredCards = Lines.FilterCardShapedRectangles(dilation, cards);
// Set the output image, convert it to a bitmap and create a graphics object so we can draw on it
switch (outputSelector.SelectedIndex)
{
default:
case 0:
output = grayscale;
break;
case 1:
output = edges;
break;
case 2:
output = wth;
break;
case 3:
output = wth60;
break;
case 4:
output = wth30;
break;
case 5:
output = dilation;
break;
case 6:
output = hough;
break;
}
Bitmap outputImage = Grayscale.ToBitmap(Defaults.Normalize(output));
if (output == hough)
{
return(outputImage);
}
Graphics g = Graphics.FromImage(outputImage);
// Draw the filtered lines
if (drawFilteredLinesCheckbox.Checked)
{
DrawLines(lines, g, outputImage.Width, outputImage.Height);
}
// Draw the potential cards (card-shaped rectangles)
if (drawFoundRectanglesCheckbox.Checked)
{
foreach (Card card in cards)
{
card.Draw(g, Pens.Yellow);
}
}
if (drawFilteredRectanglesCheckbox.Checked)
{
foreach (Card card in filteredCards)
{
card.Draw(g, Pens.Red);
}
}
// Classify and draw all filtered cards
foreach (Card card in filteredCards)
{
List <ShapeInfo> shapes = Shapes.Find(wth30, card);
if (shapes.Count > 10)
{
continue;
}
Suit suit = Shapes.ClassifyShapes(shapes);
if (suit != Suit.Unknown)
{
// Draw the bboxes of the shapes
if (drawBBCheckbox.Checked)
{
DrawShapes(shapes, g);
}
// Draw the card outline
if (drawFoundCardsCheckbox.Checked)
{
card.Draw(g);
}
// Format the card name and print it on the card
string cardName = String.Format("{0} of {1}", shapes.Count == 1 ? "Ace" : shapes.Count.ToString(), suit);
g.DrawString(cardName, new Font("Arial", 14), Brushes.Orange, new PointF(card.bottomLeft.X, card.bottomLeft.Y + 4));
Console.WriteLine(cardName);
}
}
return(outputImage);
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object is used to retrieve from inputs and store in outputs.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
IGH_Goo goo = null;
Image image = new Image();
if (!DA.GetData(0, ref goo))
{
return;
}
if (!goo.TryGetImage(ref image))
{
return;
}
int mode = 0;
DA.GetData(1, ref mode);
double numValA = 1.0;
DA.GetData(2, ref numValA);
int numValB = 1;
DA.GetData(3, ref numValB);
int numValC = 1;
DA.GetData(4, ref numValC);
int numValD = 1;
DA.GetData(5, ref numValD);
Filter filter = new Filter();
int[] indices = new int[] { 2, 3, 4, 5 };
switch ((FilterModes)mode)
{
case FilterModes.Canny:
SetParameter(2, "X", "Sigma", "Gaussian sigma");
SetParameter(3, "S", "Size", "Gaussian size");
SetParameter(4, "L", "Low Threshold", "High threshold value used for hysteresis");
SetParameter(5, "H", "High Threshold", "Low threshold value used for hysteresis");
filter = new Canny(numValA, numValB, numValC, numValD);
image.Filters.Add(new Canny());
break;
case FilterModes.Difference:
ClearParameter(indices);
filter = new Difference();
image.Filters.Add(new Difference());
break;
case FilterModes.Homogeneity:
ClearParameter(indices);
filter = new Homogeneity();
image.Filters.Add(new Homogeneity());
break;
case FilterModes.Kirsch:
ClearParameter(indices);
filter = new Kirsch();
image.Filters.Add(new Kirsch());
break;
case FilterModes.Robinson:
ClearParameter(indices);
filter = new Robinson();
image.Filters.Add(new Robinson());
break;
case FilterModes.Sobel:
ClearParameter(indices);
filter = new Sobel();
image.Filters.Add(new Sobel());
break;
}
message = ((FilterModes)mode).ToString();
UpdateMessage();
DA.SetData(0, image);
DA.SetData(1, filter);
}
