/// <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)
{
var height = ((double)source.Height / (double)source.Width * 640d);
ResizeBilinear ImageResizer = new ResizeBilinear(640, (int)height);
source = ImageResizer.Apply(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);
var Blobs = extractor.GetObjectsInformation();
foreach (Blob blob in Blobs)
{
//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;
try
{
color = ScanColor(card.GetTopLeftPart()); //Scan color
}
catch (Exception ex)
{
continue;
}
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);
}
/// <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)
{
var height = ((double)source.Height / (double)source.Width * 640d);
ResizeBilinear ImageResizer = new ResizeBilinear(640, (int)height);
source = ImageResizer.Apply(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);
var Blobs=extractor.GetObjectsInformation();
foreach (Blob blob in Blobs)
{
//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;
try
{
color = ScanColor(card.GetTopLeftPart()); //Scan color
}
catch (Exception ex)
{
continue;
}
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;
}