public Button RecognizeOneButton(Bitmap source, Rectangle rect, string filePath, int id)
{
var seq = new FiltersSequence();
var card = new Button(source); //Create Card Object
card.Rect = rect;
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
source = seq.Apply(source);
card.Tip = ScanButtonTip(source); //Scan Rank of non-face card
//if (card.Tip == ButtonTip.NOT_RECOGNIZED)
//{
// if (!string.IsNullOrEmpty(filePath))
// {
// while (File.Exists(filePath + id + ".bmp"))
// id++;
// top.Save(filePath + id + ".bmp", ImageFormat.Bmp);
// }
//}
return(card);
}
private void cmdDelFilter_Click(object sender, EventArgs e)
{
if (lsvFilterStack.SelectedItems.Count > 0)
{
var item = lsvFilterStack.SelectedItems[0];
(item.Tag as frmFilterSettings).Dispose();
item.Tag = null;
lsvFilterStack.Items.Remove(item);
filterStack.Clear();
foreach (ListViewItem lsvItem in lsvFilterStack.Items)
{
var filter = lsvItem.Tag as frmFilterSettings;
filterStack.Add(filter.FilterToModify);
}
item = null;
}
this.Redraw();
}
/// <summary>
/// Detects and recognizes cards from source image
/// </summary>
/// <param name="source">Source image to be scanned</param>
/// <returns>Recognized Cards</returns>
public CardCollection Recognize(Bitmap source)
{
CardCollection collection = new CardCollection(); //Collection that will hold cards
Bitmap temp = source.Clone() as Bitmap; //Clone image to keep original image
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); //First add grayScaling filter
seq.Add(new OtsuThreshold()); //Then add binarization(thresholding) filter
temp = seq.Apply(source); // Apply filters on source image
//Extract blobs from image whose size width and height larger than 150
BlobCounter extractor = new BlobCounter();
extractor.FilterBlobs = true;
extractor.MinWidth = extractor.MinHeight = 150;
extractor.MaxWidth = extractor.MaxHeight = 350;
extractor.ProcessImage(temp);
//Will be used transform(extract) cards on source image
QuadrilateralTransformation quadTransformer = new QuadrilateralTransformation();
//Will be used resize(scaling) cards
ResizeBilinear resizer = new ResizeBilinear(CardWidth, CardHeight);
foreach (Blob blob in extractor.GetObjectsInformation())
{
//Get Edge points of card
List <IntPoint> edgePoints = extractor.GetBlobsEdgePoints(blob);
//Calculate/Find corners of card on source image from edge points
List <IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
quadTransformer.SourceQuadrilateral = corners; //Set corners for transforming card
quadTransformer.AutomaticSizeCalculaton = true;
Bitmap cardImg = quadTransformer.Apply(source); //Extract(transform) card image
if (cardImg.Width > cardImg.Height) //If card is positioned horizontally
{
cardImg.RotateFlip(RotateFlipType.Rotate90FlipNone); //Rotate
}
cardImg = resizer.Apply(cardImg); //Normalize card size
Card card = new Card(cardImg, corners.ToArray()); //Create Card Object
char color = ScanColor(card.GetTopLeftPart()); //Scan color
bool faceCard = IsFaceCard(cardImg); //Determine type of card(face or not)
if (!faceCard)
{
card.Suit = ScanSuit(cardImg, color); //Scan Suit of non-face card
card.Rank = ScanRank(cardImg); //Scan Rank of non-face card
}
else
{
Bitmap topLeft = card.GetTopLeftPart();
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new BradleyLocalThresholding());
topLeft = seq.Apply(topLeft);
BlobsFiltering bFilter = new BlobsFiltering(5, 5, 150, 150);
bFilter.ApplyInPlace(topLeft); //Filter blobs that can not be a suit
topLeft.Save("topleft.bmp", ImageFormat.Bmp);
card.Suit = ScanFaceSuit(topLeft, color); //Scan suit of face card
card.Rank = ScanFaceRank(topLeft); //Scan rank of face card
}
collection.Add(card); //Add card to collection
}
return(collection);
}
private void FillPictureBoxes(ref Bitmap image)
{
Bitmap tmpImg = image;
Bitmap tmpImg2 = image;
try
{
bool hasFilter = false;
//setup resize and filtersequesce
//resize img to fit picturebox
ResizeBicubic resizeFilter = new ResizeBicubic(0, 0);
resizeFilter = new ResizeBicubic(pbCapture.Width, pbCapture.Height);
tmpImg = resizeFilter.Apply(tmpImg);
resizeFilter = new ResizeBicubic(pbShapes.Width, pbShapes.Height);
tmpImg2 = resizeFilter.Apply(tmpImg2);
FiltersSequence processingFilter = new FiltersSequence();
//List all filters
IFilter ConservativeSmoothingFilter = new AForge.Imaging.Filters.ConservativeSmoothing();
IFilter InvertFilter = new AForge.Imaging.Filters.Invert();
IFilter HSLFilteringFilter = new AForge.Imaging.Filters.HSLFiltering();
IFilter SepiaFilter = new AForge.Imaging.Filters.Sepia();
IFilter grayscaleFilter = new AForge.Imaging.Filters.GrayscaleBT709();
IFilter SkeletonizationFilter = new AForge.Imaging.Filters.SimpleSkeletonization();
IFilter pixFilter = new AForge.Imaging.Filters.Pixellate();
////apply filter and process img---------------------------------------------
if (ConservativeSmoothing)
{
processingFilter.Add(ConservativeSmoothingFilter);
hasFilter = true;
}
if (Invert)
{
processingFilter.Add(InvertFilter);
hasFilter = true;
}
if (HSLswitch)
{
processingFilter.Add(HSLFilteringFilter);
hasFilter = true;
}
if (sepiaSwitch)
{
processingFilter.Add(SepiaFilter);
hasFilter = true;
}
if (Skeletonization)
{
processingFilter.Add(grayscaleFilter);
processingFilter.Add(SkeletonizationFilter);
hasFilter = true;
}
//apply the filter(s) to image
if (hasFilter)
{
//tmpImg = processingFilter.Apply(tmpImg);
tmpImg2 = processingFilter.Apply(tmpImg2);
}
processingFilter.Clear();
if (bwSwitch)
{
switchBandW(ref tmpImg);
}
if (CannyEdgeDetector)
{
// create filter
CannyEdgeDetector filter = new CannyEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
filter.ApplyInPlace(tmpImg);
// image = DrawFocusArea(gsImage);
}
else
{
// image = DrawFocusArea(image);
}
if (DifferenceEdgeDetector)
{
DifferenceEdgeDetector dFilter = new DifferenceEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
dFilter.ApplyInPlace(tmpImg);
}
if (HomogenityEdgeDetector)
{
HomogenityEdgeDetector hFilter = new HomogenityEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
hFilter.ApplyInPlace(tmpImg);
}
if (SobelEdgeDetector)
{
SobelEdgeDetector hFilter = new SobelEdgeDetector();
// apply the filter
tmpImg = Grayscale.CommonAlgorithms.BT709.Apply(tmpImg);
hFilter.ApplyInPlace(tmpImg);
BlobCounter bc = new BlobCounter(tmpImg);
Rectangle[] brecs = bc.GetObjectsRectangles();
//Graphics pg = Graphics.FromImage(tmpImg);
//Pen p = new Pen(Color.White, 2);
//foreach (Rectangle r in brecs)
//{
// pg.DrawRectangle(p, r);
//}
}
if (findShapes)
{
tmpImg = FindShapes(tmpImg, ref tmpImg2);
//ProcessImage(image);
}
else
{
pbCapture.Image = tmpImg; //set picturebox image----------------
pbShapes.Image = tmpImg2; //set picturebox image----------------
}
// Graphics g = Graphics.FromImage(tmpImg);
// Pen p = new Pen(Color.Red, 2);
// Rectangle lr = new Rectangle(100, 120, 80, 40);
//// Rectangle rr = new Rectangle(360, 220, 80, 40);
// g.DrawRectangle(p, lr);
// //g.DrawRectangle(p, rr);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
// pbCapture.Image = tmpImg;//set picturebox image----------------
// pbShapes.Image = tmpImg2;//set picturebox image----------------
}
/// <summary>
/// Detects and recognizes cards from source image
/// </summary>
/// <param name="source">Source image to be scanned</param>
/// <returns>Recognized Cards</returns>
public CardCollection Recognize(Bitmap source, string filePath, int id,
int minSize, Rectangle suitRect, Rectangle rankRect
)
{
CardCollection collection = new CardCollection(); //Collection that will hold cards
Bitmap temp = source.Clone() as Bitmap; //Clone image to keep original image
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); //First add grayScaling filter
seq.Add(new OtsuThreshold()); //Then add binarization(thresholding) filter
temp = seq.Apply(source); // Apply filters on source image
//if (!string.IsNullOrEmpty(fileName))
//{
// temp.Save(fileName, ImageFormat.Bmp);
//}
//Extract blobs from image whose size width and height larger than 150
BlobCounter extractor = new BlobCounter();
extractor.FilterBlobs = true;
extractor.MinWidth = extractor.MinHeight = minSize;//TODO card size
//extractor.MaxWidth = extractor.MaxHeight = 70;//TODO card size
extractor.ProcessImage(temp);
//Will be used transform(extract) cards on source image
//QuadrilateralTransformation quadTransformer = new QuadrilateralTransformation();
foreach (Blob blob in extractor.GetObjectsInformation())
{
var cardImg = source.Clone(blob.Rectangle, PixelFormat.DontCare);
Card card = new Card(cardImg); //Create Card Object
Bitmap suitBmp = card.GetPart(suitRect);
char color = ScanColor(suitBmp); //Scan color
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
suitBmp = seq.Apply(suitBmp);
card.Suit = ScanSuit(suitBmp, color); //Scan suit of face card
Bitmap rankBmp = card.GetPart(rankRect);
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
rankBmp = seq.Apply(rankBmp);
//var ext = new BlobsFiltering(0, 0, 40, 40);
//ext.ApplyInPlace(rankBmp);
card.Rank = ScanRank(rankBmp); //Scan Rank of non-face card
//if (card.Rank == Rank.NOT_RECOGNIZED)
//{
// if (!string.IsNullOrEmpty(filePath))
// {
// while (File.Exists(filePath + id + ".bmp"))
// id++;
// top.Save(filePath + id + ".bmp", ImageFormat.Bmp);
// }
//}
if (card.Rank != Rank.NOT_RECOGNIZED && card.Suit != Suit.NOT_RECOGNIZED)
{
collection.Add(card); //Add card to collection
}
}
collection.SortByRank();
return(collection);
}
