public Bitmap ExtractHandContour(Bitmap img)
{
// create filter to remove noise (small blobs)
BlobsFiltering filterB = new BlobsFiltering();
// configure filter
//filterB.CoupledSizeFiltering = true;
filterB.MinWidth = 200;
filterB.MinHeight = 400;
// apply the filter
this.imgHandContour = filterB.Apply(img);
this.imgHandContour = this.Invert();
int iVerticalOffset = 150; //cut bottom noise
Bitmap newImg = new Bitmap(this.imgHandContour.Width, this.imgHandContour.Height - iVerticalOffset, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
for (int x = 0; x < this.imgHandContour.Width; x++)
{
for (int y = 0; y < this.imgHandContour.Height - iVerticalOffset; y++)
{
//if(this.imgHandContour.GetPixel(x,y).Name != "ffffffff")
newImg.SetPixel(x, y, this.imgHandContour.GetPixel(x, y));
}
}
return(newImg);
//return imgHandContour;
}
public static Bitmap ProcessBlob(Bitmap img)
{
BlobCounterBase bc = new BlobCounter();
// set filtering options
bc.FilterBlobs = true;
bc.MinWidth = 2;
bc.MinHeight = 2;
// set ordering options
bc.ObjectsOrder = ObjectsOrder.Size;
// process binary image
bc.ProcessImage(Grayscale.CommonAlgorithms.BT709.Apply(img));
Blob[] blobs = bc.GetObjectsInformation();
// extract the biggest blob
if (blobs.Length > 0)
{
bc.ExtractBlobsImage(img, blobs[0], true);
// create filter
BlobsFiltering filter = new BlobsFiltering();
// apply the filter
Bitmap biggestBlobsImage = filter.Apply(img);
return(biggestBlobsImage);
}
return(img);
}
public static Bitmap BlobsFiltering(Bitmap Imagem)
{
BlobsFiltering filter = new BlobsFiltering();
Imagem = Imagem.Clone(new Rectangle(0, 0, Imagem.Width, Imagem.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Imagem = filter.Apply(Imagem);
return(Imagem);
}
private Bitmap ProcessImageBlobsFiltering(Bitmap img)
{
BlobsFiltering blobsFiltering = new BlobsFiltering();
blobsFiltering.CoupledSizeFiltering = true;
blobsFiltering.MinWidth = minWidth;
blobsFiltering.MinHeight = minHeight;
return(blobsFiltering.Apply(img));
}
//blob filter
private void blob()
{
Bitmap gambar = (Bitmap)crop_image.Image;
BlobsFiltering filter = new BlobsFiltering();
filter.CoupledSizeFiltering = true;
filter.MinWidth = 100;
filter.MinHeight = 150;
crop_image.Image = filter.Apply(gambar);
}
private Bitmap ProcessCurrentFrame()
{
Bitmap bmp;
//curr_gs = pixelFilter.Apply(curr_gs);
if (first)
{
back = (Bitmap)curr_gs.Clone();
first = false;
}
/* Detection */
diffFilter.OverlayImage = back;
bmp = diffFilter.Apply(curr_gs);
bmp = thresholdFilter.Apply(bmp);
bmp = blobFilter.Apply(bmp);
//bmp = erosionFilter.Apply(bmp);
//bmp = openFilter.Apply(bmp);
//bmp = edgeFilter.Apply(bmp);
try
{
//blobCount.Text = blobGrabber.Apply(bmp).Size.ToString();
}
catch (Exception)
{
}
/* Transcribe to original image */
// extract red channel from the original image
//IFilter extrachChannel = new ExtractChannel(RGB.R);
//Bitmap redChannel = extrachChannel.Apply(curr_c);
// merge red channel with motion regions
//Merge mergeFilter = new Merge();
//mergeFilter.OverlayImage = bmp;
//Bitmap tmp4 = mergeFilter.Apply(redChannel);
// replace red channel in the original image
//ReplaceChannel replaceChannel = new ReplaceChannel(RGB.R,tmp4);
//curr_c = replaceChannel.Apply(curr_c);
/* Background Update */
//towardsFilter.OverlayImage = curr_gs;
//back = towardsFilter.Apply(back);
morphFilter.OverlayImage = curr_gs;
back = morphFilter.Apply(back);
return(bmp);
}
public List <Bitmap> PreHandle2(Bitmap original)
{
var preOcr = new FiltersSequence(
Grayscale.CommonAlgorithms.RMY,
new BradleyLocalThresholding());
var grayscale = preOcr.Apply(original);
GrayImg.Source = Bitmap2BitmapImageSource(grayscale);
var filter = new BlobsFiltering
{
CoupledSizeFiltering = true,
MinHeight = 6,
MinWidth = 6
};
var filterImage = filter.Apply(new Invert().Apply(grayscale));
ThresholdImg.Source = Bitmap2BitmapImageSource(filterImage);
var invertImg = new Invert().Apply(filterImage);
DoneImg.Source = Bitmap2BitmapImageSource(invertImg);
var labels = new ConnectedComponentsLabeling();
labels.BlobCounter.ObjectsOrder = ObjectsOrder.XY;
labels.Apply(filterImage);
var bitmaps = new List <Bitmap>();
for (int i = 0; i < labels.ObjectCount; i++)
{
var candidate = labels.BlobCounter.GetObjectsInformation()[i];
var edgePoint = labels.BlobCounter.GetBlobsEdgePoints(candidate);
labels.BlobCounter.ExtractBlobsImage(filterImage, candidate, false);
if (candidate.Image != null)
{
var charcter = new Invert().Apply(candidate.Image.ToManagedImage());
var resizer = new ResizeBilinear(10, 10);
var finalImage = resizer.Apply(charcter);
bitmaps.Add(finalImage);
TesseractEngine a = new TesseractEngine(@"./tessdata", "eng", EngineMode.TesseractAndCube);
Page p = a.Process(finalImage);
TBlock.Text += p.GetText();
}
}
return(bitmaps);
}
private void button5_Click(object sender, EventArgs e)
{
BlobFilter.MaxHeight = Convert.ToInt16(textBox2.Text.ToString());
BlobFilter.MinHeight = Convert.ToInt16(textBox3.Text.ToString());
BlobFilter.MaxWidth = Convert.ToInt16(textBox4.Text.ToString());
BlobFilter.MinWidth = Convert.ToInt16(textBox5.Text.ToString());
BlobBmp = BlobFilter.Apply(BinBmp);
BlobCountFilter.ProcessImage(BlobBmp);
BlobArray = BlobCountFilter.GetObjects(BlobBmp, true); //apply blob counting
process.Image = BlobBmp;
this.Text += ";" + BlobBmp.Width.ToString();
//this.Text = BlobArray[0].Area.ToString();
}
private void extractLargestBlob()
{
ExtractBiggestBlob biggestBlob = new ExtractBiggestBlob();
Bitmap newImage = biggestBlob.Apply(imageGot);
int newImHeight = newImage.Height;
int newImWidth = newImage.Width;
// create filter
BlobsFiltering filter = new BlobsFiltering();
filter.CoupledSizeFiltering = true;
filter.MinWidth = newImHeight;
filter.MinHeight = newImWidth;
imageGot = filter.Apply(imageGot);
pictureBox1.Image = imageGot;
}
//verilen sınır değerlerden küçük şekilleri göz ardı eder
private void button5_Click(object sender, EventArgs e)
{
//filtre oluşturuldu
BlobsFiltering filtre = new BlobsFiltering();
//filtre ayarları yapıldı
filtre.CoupledSizeFiltering = true;
filtre.MinWidth = 70;
filtre.MinHeight = 70;
//burada bazıları ApplyInPlace() fonksiyonunu kullanıyor
//ben Apply() fonksiyonunu kullanıyorum
//ApplyInPlace() fonksiyonunu daha önce hiç kullanmadım, nasıl çalıştığınıda çözemedim zaten:)
Bitmap newImage = filtre.Apply((Bitmap)pictureBox1.Image);
pictureBox1.Image = newImage;
}
private void blobToolStripMenuItem_Click(object sender, EventArgs e)
{
BlobsFiltering filter = new BlobsFiltering();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox1.Image);
}
public Bitmap FilterBloobs(Bitmap bitmap, int minWidth, int minHeight)
{
BlobsFiltering filter = new BlobsFiltering(minWidth, minHeight, int.MaxValue, int.MaxValue);
return(ReverseBitmapColors(filter.Apply(ReverseBitmapColors(bitmap))));
}
public RecognizeResult Recognize(RecoginizeData data)
{
try
{
using (var src = data.CardsBitmap.Deserialize() as Bitmap)
{
if (src == null)
{
throw new InvalidDataException(string.Format("待识别扑克的图片数据反序列化失败！"));
}
var result = new RecognizeResult
{
Result = new List <Card>()
};
//过滤蓝色、灰度化、二值化
var toRec = _seq.Apply(src);
//黑色与白色互换
ExchangeIndexColor(toRec, 255, 0);
//去掉干扰线
RemoveInterferenceLines(toRec, 0);
//过滤噪音
toRec = _blobsFiltering.Apply(toRec);
//获取所有的块
_blobCounter.ProcessImage(toRec);
//去掉偏移的块区域
var rects = RemoveOffsetBlobs(_blobCounter.GetObjectsRectangles().ToList());
//合并区域
rects = MergeBlobs(rects);
//识别扑克牌数字
rects.ForEach(rectNum =>
{
//识别牌数字
var bmpNum = _resizeNumFilter.Apply(toRec.Clone(rectNum, toRec.PixelFormat));
var cardNum = _cardNetworkService.ComputeNum(bmpNum);
if (cardNum == CardNum.未知)
{
var dir = AppDomain.CurrentDomain.BaseDirectory + @"未知\数字\";
Directory.CreateDirectory(dir);
bmpNum.Save(dir + string.Format("{0}.bmp", DateTime.Now.ToString("yyyyMMddHHmmssffff")));
}
//识别牌花色(花色图片需要重新处理，所以需要用原图src)
var bmpColor = GetColorBitmap(src, rectNum);
var cardColor = _cardNetworkService.ComputeColor(bmpColor);
if (cardColor == CardColor.未知)
{
var dir = AppDomain.CurrentDomain.BaseDirectory + @"未知\花色\";
Directory.CreateDirectory(dir);
bmpColor.Save(dir + string.Format("{0}.bmp", DateTime.Now.ToString("yyyyMMddHHmmssffff")));
}
//将识别出来的牌信息添加到结果集中
result.Result.Add(new Card
{
Num = cardNum,
Color = cardColor,
Rect = rectNum
});
});
GC.Collect();
return(result);
}
}
catch (Exception ex)
{
throw new FaultException((ex.InnerException ?? ex).ToString());
}
}
private void openFileDialog1_FileOk(object sender, CancelEventArgs e)
{
loaded = new Bitmap(openFileDialog1.FileName);
pictureBox1.Image = loaded;
processed = new Bitmap(openFileDialog1.FileName);
GrayscaleBT709 g = new GrayscaleBT709();
processed = g.Apply((Bitmap)processed);
Threshold t = new Threshold(128);
processed = t.Apply((Bitmap)processed);
BlobsFiltering b = new BlobsFiltering();
b.MinWidth = 147;
b.MinHeight = 147;
b.CoupledSizeFiltering = true;
processed = b.Apply((Bitmap)processed);
HomogenityEdgeDetector h = new HomogenityEdgeDetector();
processed = h.Apply((Bitmap)processed);
pictureBox2.Image = processed;
BlobCounterBase bc = new BlobCounter();
bc.ProcessImage(processed);
Blob[] blobs = bc.GetObjectsInformation();
//5 cents 7 pieces 700-800 pixels
//10 cents 11 pieces 801-1000 pixels
//25 cents 28 pieces 1001-1200 pixels
//1 peso 13 pieces 1200-1500 pixels
//5 peso 5 pieces 1501-1700 pixels
int paybcents = 0, tencents = 0, twenypaybcents = 0, wanpeso = 0, paybpeso = 0;
foreach (Blob blob in blobs)
{
if (blob.Area >= 700 && blob.Area <= 800)
{
paybcents++;
}
else if (blob.Area >= 801 && blob.Area <= 1000)
{
tencents++;
}
else if (blob.Area >= 1001 && blob.Area <= 1200)
{
twenypaybcents++;
}
else if (blob.Area >= 1200 && blob.Area <= 1500)
{
wanpeso++;
}
else if (blob.Area >= 1501 && blob.Area <= 1700)
{
paybpeso++;
}
}
double paybcentsbalyo = paybcents * 0.05;
double tencentsbalyo = tencents * 0.1;
double twenypaybcentsbalyo = twenypaybcents * 0.25;
double wanpesobalyo = wanpeso * 1;
double paybpesobalyo = paybpeso * 5;
double total = paybcentsbalyo + tencentsbalyo + twenypaybcentsbalyo + wanpesobalyo + paybpesobalyo;
MessageBox.Show("5 cents: " + paybcents + " pieces value: " + paybcentsbalyo + "\n10 cents: " + tencents + " pieces value: " + tencentsbalyo + "\n25 cents: " + twenypaybcents + " pieces value:" + twenypaybcentsbalyo + "\n1 peso: " + wanpeso + " pieces value:" + wanpesobalyo + "\n5 peso: " + paybpeso + " pieces value:" + paybpesobalyo + "\nTotal Value: " + total);
}
public static Tuple <Bitmap, Bitmap, Bitmap, Bitmap, List <Bitmap> > blob(Bitmap img, Interval w, Interval h, Boolean couple)
{
Bitmap sourceImage = (Bitmap)(img);
////////////////////////////////////////////////////
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = (int)h.Min;
blobCounter.MaxHeight = (int)h.Max;
blobCounter.MinWidth = (int)w.Min;
blobCounter.MaxWidth = (int)w.Max;
blobCounter.CoupledSizeFiltering = couple;
//blobCounter.BackgroundThreshold.
blobCounter.ProcessImage(sourceImage);
Blob[] blobs = blobCounter.GetObjectsInformation();
//bitmap.UnlockBits(sourceImage);
////////////////////////////////////////////////////
Bitmap newBlobImg = (Bitmap)(sourceImage).Clone();
// create filter
BlobsFiltering filterBlob = new BlobsFiltering();
// configure filter
filterBlob.CoupledSizeFiltering = couple;
filterBlob.MinHeight = (int)h.Min;
filterBlob.MaxHeight = (int)h.Max;
filterBlob.MinWidth = (int)w.Min;
filterBlob.MaxWidth = (int)w.Max;
// apply the filter
newBlobImg = filterBlob.Apply(newBlobImg);
////////////////////////////////////////////////////
Bitmap rectImage = (Bitmap)(newBlobImg).Clone();
GrayscaleToRGB convertToColor = new GrayscaleToRGB();
if (rectImage.PixelFormat == System.Drawing.Imaging.PixelFormat.Format8bppIndexed)
{
rectImage = convertToColor.Apply(newBlobImg);
}
Graphics g = Graphics.FromImage(rectImage);
Pen myPen = new Pen(Color.Red, 1);
List <Bitmap> blobIMGs = new List <Bitmap>();
for (int i = 0; i < blobs.Length; i++)
{
blobIMGs.Add((Bitmap)(newBlobImg).Clone(blobs[i].Rectangle, PixelFormat.Format32bppArgb));
g.DrawRectangle(myPen, blobs[i].Rectangle);
}
////////////////////////////////////////////////////
Bitmap colorImage = (Bitmap)(newBlobImg).Clone();
ConnectedComponentsLabeling filter = new ConnectedComponentsLabeling();
// apply the filter
colorImage = filter.Apply(colorImage);
//////////////////////////////////////////////////
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Bitmap shapeImage = (Bitmap)(newBlobImg).Clone();
Graphics gg = Graphics.FromImage(shapeImage);
Pen yellowPen = new Pen(Color.Yellow, 2); // circles
Pen redPen = new Pen(Color.Red, 2); // quadrilateral
Pen brownPen = new Pen(Color.Brown, 2); // quadrilateral with known sub-type
Pen greenPen = new Pen(Color.Green, 2); // known triangle
Pen bluePen = new Pen(Color.Blue, 2); // triangle
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
AForge.Point center;
float radius;
// is circle ?
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
gg.DrawEllipse(yellowPen,
(float)(center.X - radius), (float)(center.Y - radius),
(float)(radius * 2), (float)(radius * 2));
}
else
{
List <IntPoint> corners;
// is triangle or quadrilateral
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
// get sub-type
PolygonSubType subType = shapeChecker.CheckPolygonSubType(corners);
Pen pen;
if (subType == PolygonSubType.Unknown)
{
pen = (corners.Count == 4) ? redPen : bluePen;
}
else
{
pen = (corners.Count == 4) ? brownPen : greenPen;
}
gg.DrawPolygon(pen, ToPointsArray(corners));
}
}
}
return(new Tuple <Bitmap, Bitmap, Bitmap, Bitmap, List <Bitmap> >(newBlobImg, colorImage, rectImage, shapeImage, blobIMGs));
}