private void GetVideo(object sender, EventArgs e)
{
//Берем кадр
var Kadr = myCapture.QueryFrame();
//Вставляем в imageBox
imageBox1.Image = myCapture.QueryFrame();
}
Image <Bgr, byte> QueryFrame(int CameraNum, int SWidth, int SHeigth)
{
Image <Bgr, byte> _imageCV = null;
VideoCapture _VideoCapture = new VideoCapture(CameraNum);
_VideoCapture.SetCaptureProperty(CapProp.Autofocus, 39);
_VideoCapture.SetCaptureProperty(CapProp.AutoExposure, 21);
ICapture _Capture = _VideoCapture as ICapture;
Mat _ImgMat = _Capture.QueryFrame();
_ImgMat = _Capture.QueryFrame();
_imageCV = new Image <Bgr, byte>(_ImgMat.Bitmap);
_imageCV = _imageCV.Resize(SWidth, SHeigth, Inter.Linear);
_VideoCapture.Dispose();
return(_imageCV);
}
void Capture(object sender, EventArgs e)
{
try
{
_ImgMat = _Capture.QueryFrame();
}
catch { };
}
Result[] ScanBarCode()
{
Result[] resultArray = null;
ICapture capture = (ICapture)video;
Mat img = capture.QueryFrame();
int with = img.Width;
int heigh = img.Height;
Image <Hsv, byte> image1 = (Image <Hsv, byte>)null;
image1 = new Image <Hsv, byte>(img.Bitmap);
int width = integerVariable3 - integerVariable1;
int height = integerVariable4 - integerVariable2;
Rectangle rect = new Rectangle(integerVariable1, integerVariable2, width, height);
image1.Draw(rect, new Hsv(0.0, 0.0, (double)byte.MaxValue), 10, Emgu.CV.CvEnum.LineType.AntiAlias, 0);
image1.Save(@"C:\Images\Labe.jpg");
image1.Dispose();
Image Image1 = Bitmap.FromFile(@"C:\Images\Labe.jpg");
Image <Bgr, Byte> myImage1 = new Image <Bgr, Byte>((Bitmap)Image1);
int length = 0;
string[] strArray1 = (string[])null;
string[] strArray2 = (string[])null;
bool flag;
try
{
resultArray = new BarcodeReader().DecodeMultiple(myImage1.Bitmap);
flag = false;
if (resultArray != null)
{
length = resultArray.Length;
}
if (length > 0)
{
flag = true;
strArray1 = new string[length];
strArray2 = new string[length];
for (int index = 0; index < length; ++index)
{
Result result = resultArray[index];
strArray1[index] = result.Text;
strArray2[index] = result.BarcodeFormat.ToString();
}
}
}
catch (Exception ex)
{
}
Image1.Dispose();
return(resultArray);
}
private void timer1_Tick(object sender, EventArgs e)
{
integerVariable1 = Convert.ToInt32(txtWidthX0.Text); //"Argument7", "X1");
integerVariable2 = Convert.ToInt32(txtHeightY0.Text); //("Argument8", "Y1");
integerVariable3 = Convert.ToInt32(txtWidthX1.Text); //"Argument9", "X2");
integerVariable4 = Convert.ToInt32(txtHeightY1.Text); //"Argument10", "Y2");
video.SetCaptureProperty(Emgu.CV.CvEnum.CapProp.Autofocus, 0);
//video.SetCaptureProperty(CapProp.Focus, 75);
ICapture capture = (ICapture)video;
Mat img = capture.QueryFrame();
_imgRealTime = (Image <Hsv, byte>)null;
_imgRealTime = new Image <Hsv, byte>(img.Bitmap);
int width = integerVariable3 - integerVariable1;
int height = integerVariable4 - integerVariable2;
Rectangle rect = new Rectangle(integerVariable1, integerVariable2, width, height);
_imgRealTime.Draw(rect, new Hsv(0.0, 0.0, (double)byte.MaxValue), 5, Emgu.CV.CvEnum.LineType.AntiAlias, 0);
CvInvoke.PutText(_imgRealTime, "BarCode: " + _SerialNumberFromBarcode, new Point(100, 60), FontFace.HersheyComplex, 1.0, new Rgb(0, 0, 0).MCvScalar, 2);
CvInvoke.PutText(_imgRealTime, "OCR: " + _SerialNumberFromOCR, new Point(100, 100), FontFace.HersheyComplex, 1.0, new Rgb(0, 0, 0).MCvScalar, 2);
pictureBox1.Image = _imgRealTime.Bitmap;
}
string TesseractAPI()
{
using (var objOcr = OcrApi.Create())
{
objOcr.Init(Patagames.Ocr.Enums.Languages.English);
objOcr.SetVariable("tessedit_char_whitelist", "0123456789-Model:");
ICapture capture = (ICapture)video;
Mat img = capture.QueryFrame();
int with = img.Width;
int heigh = img.Height;
Image <Hsv, byte> image1 = (Image <Hsv, byte>)null;
image1 = new Image <Hsv, byte>(img.Bitmap);
int width = integerVariable3 - integerVariable1;
int height = integerVariable4 - integerVariable2;
Rectangle rect = new Rectangle(integerVariable1, integerVariable2, width, height);
image1.Draw(rect, new Hsv(0.0, 0.0, (double)byte.MaxValue), 10, Emgu.CV.CvEnum.LineType.AntiAlias, 0);
image1.Save(@"C:\Images\Labe.jpg");
image1.Dispose();
var _bmp = Bitmap.FromFile(@"C:\Images\Labe.jpg");
string _OCR = objOcr.GetTextFromImage((Bitmap)_bmp);
_bmp.Dispose();
return(_OCR);
}
}
private void ProcessFrame(object sender, EventArgs e)
{
//String str = String.Format("withBall.jpg");
//originalImg = CvInvoke.Imread(str)
originalImg = capture.QueryFrame();
Image <Bgr, Byte> outputImg = originalImg.ToImage <Bgr, Byte>();
int imgWidth = originalImg.Width;
int imgHeight = originalImg.Height;
UMat grayImg = new UMat();
//Convert RBG to Gray
CvInvoke.CvtColor(originalImg, grayImg, ColorConversion.Bgr2Gray);
//use image pyr to remove noise
UMat pyrDown = new UMat();
CvInvoke.PyrDown(grayImg, pyrDown);
CvInvoke.PyrUp(pyrDown, grayImg);
UMat binaryImg = new UMat();
//Find Potiential Plate Region
CvInvoke.Threshold(grayImg, binaryImg, 200, 255, ThresholdType.BinaryInv);
Image <Gray, Byte> binaryImgG = binaryImg.ToImage <Gray, Byte>();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
int[,] hierachy = CvInvoke.FindContourTree(binaryImgG, contours, ChainApproxMethod.ChainApproxNone);
int maxArea = 0;
int maxAreaContourIndex = 0;
for (int idx = 0; idx < contours.Size; idx++)
{
//bool isChild = isChildContour(hierachy, idx);
int numberOfChildren = GetNumberOfChildren(hierachy, idx);
using (VectorOfPoint contour = contours[idx])
{
if ((numberOfChildren > 3))
{
if (CvInvoke.ContourArea(contour) > maxArea)
{
maxAreaContourIndex = idx;
}
}
}
}
Image <Gray, Byte> mask1 = new Image <Gray, Byte>(imgWidth, imgHeight);
CvInvoke.DrawContours(mask1, contours, maxAreaContourIndex, new MCvScalar(255), -1);
int openingFactor1 = 100;
Image <Gray, Byte> plateMask = new Image <Gray, Byte>(imgWidth, imgHeight);
plateMask = mask1.Erode(openingFactor1);
plateMask = plateMask.Dilate(openingFactor1);
CvBlobs blobs = new CvBlobs();
CvBlobDetector blob_detector = new CvBlobDetector();
//blobs.FilterByArea(10000, 1000000);
blob_detector.Detect(plateMask, blobs);
foreach (CvBlob blob in blobs.Values)
{
Rectangle r = blob.BoundingBox;
outputImg.Draw(r, new Bgr(0, 255, 255), 4);
}
Image <Gray, Byte> invBinaryImgG = binaryImg.ToImage <Gray, Byte>();
CvInvoke.BitwiseNot(invBinaryImgG, invBinaryImgG);
Image <Gray, Byte> mask3 = plateMask.Clone();
CvInvoke.BitwiseAnd(plateMask, invBinaryImgG, mask3);
blob_detector.Detect(mask3, blobs);
int patternSize = 20;
int ballSize = 60;
int tolerance = 10;
int patternHigh = patternSize + tolerance;
int patternLow = patternSize - tolerance;
int ballHigh = ballSize + tolerance * 2;
int ballLow = ballSize - tolerance * 2;
blobs.FilterByArea(patternLow * patternLow, ballHigh * ballHigh);
List <PointF> patternPoints = new List <PointF>();
PointF ballPoint = new PointF();
int numberOfPatternPointFound = 0;
foreach (CvBlob blob in blobs.Values)
{
Rectangle r = blob.BoundingBox;
if ((r.Height > patternLow) && (r.Height < patternHigh) &&
(r.Width > patternLow) && (r.Width < patternHigh))
{
outputImg.Draw(new CircleF(blob.Centroid, 2), new Bgr(0, 0, 255), 2);
patternPoints.Add(blob.Centroid);
numberOfPatternPointFound++;
}
if ((r.Height > ballLow) && (r.Height < ballHigh) &&
(r.Width > ballLow) && (r.Width < ballHigh))
{
outputImg.Draw(new CircleF(blob.Centroid, 5), new Bgr(0, 0, 255), 5);
ballPoint = blob.Centroid;
}
}
label14.Text = String.Format("{0}", numberOfPatternPointFound);
List <PointF> sortedPatternPoints = new List <PointF>();
// 1 for TopLeft - 2 for Top Right - 3 for Bottom Right - 4 for Bottom Left
List <int> pointType = new List <int>();;
PointF centerPoint = new PointF();
foreach (PointF patternPoint in patternPoints)
{
centerPoint.X += patternPoint.X;
centerPoint.Y += patternPoint.Y;
}
centerPoint.X /= numberOfPatternPointFound;
centerPoint.Y /= numberOfPatternPointFound;
x_position.Text = ballPoint.X.ToString();
y_position.Text = ballPoint.Y.ToString();
foreach (PointF patternPoint in patternPoints)
{
if ((patternPoint.X < centerPoint.X) && (patternPoint.Y < centerPoint.Y))
{
sortedPatternPoints.Add(patternPoint);
pointType.Add(1);
}
else if ((patternPoint.X > centerPoint.X) && (patternPoint.Y < centerPoint.Y))
{
sortedPatternPoints.Add(patternPoint);
pointType.Add(2);
}
else if ((patternPoint.X > centerPoint.X) && (patternPoint.Y > centerPoint.Y))
{
sortedPatternPoints.Add(patternPoint);
pointType.Add(3);
}
else if ((patternPoint.X < centerPoint.X) && (patternPoint.Y > centerPoint.Y))
{
sortedPatternPoints.Add(patternPoint);
pointType.Add(4);
}
}
int id = 0;
foreach (PointF patternPoint in sortedPatternPoints)
{
CvInvoke.PutText(outputImg,
String.Format("{0}", pointType[id++]),
new System.Drawing.Point((int)patternPoint.X, (int)patternPoint.Y),
FontFace.HersheyComplex,
1.0,
new Bgr(0, 255, 0).MCvScalar);
}
imageBox1.Image = outputImg;
}
int PixelCountExample()
{
double num1 = floatVariable1 / 2.0;
double num2 = floatVariable4 / 2.0;
double num3 = floatVariable2 / 100.0 * (double)byte.MaxValue;
double num4 = floatVariable5 / 100.0 * (double)byte.MaxValue;
double num5 = floatVariable3 / 100.0 * (double)byte.MaxValue;
double num6 = floatVariable6 / 100.0 * (double)byte.MaxValue;
Image <Hsv, byte> image1 = (Image <Hsv, byte>)null;
Image <Hsv, byte> image2 = (Image <Hsv, byte>)null;
//VideoCapture video = new VideoCapture(0);
//video.SetCaptureProperty(CapProp.Focus, 150);
ICapture capture = (ICapture)video;
System.Threading.Thread.Sleep(2000);
Mat ImageMat = capture.QueryFrame();
IImage image3 = (IImage)ImageMat;
//image3.Save(@"C:\\Images\example.jpeg");
image3 = new Image <Hsv, byte>(ImageMat.Bitmap);
image2 = new Image <Hsv, byte>(image3.Bitmap);
image1 = image2.Copy();
int num7 = 0;
Hsv hsv1 = new Hsv();
Hsv hsv2 = new Hsv(120.0, (double)byte.MaxValue, (double)byte.MaxValue);
for (int index1 = integerVariable2; index1 < integerVariable4; ++index1)
{
for (int index2 = integerVariable1; index2 < integerVariable3; ++index2)
{
Hsv hsv3 = image2[index1, index2];
if (hsv3.Value >= num5 && hsv3.Value <= num6 && (hsv3.Satuation >= num3 && hsv3.Satuation <= num4))
{
if (num1 > num2)
{
if (hsv3.Hue >= num1 || hsv3.Hue <= num2)
{
++num7;
if (booleanVariable)
{
image1[index1, index2] = hsv2;
}
}
}
else if (hsv3.Hue >= num1 && hsv3.Hue <= num2)
{
++num7;
if (booleanVariable)
{
image1[index1, index2] = hsv2;
}
}
}
}
}
if (booleanVariable)
{
int width = integerVariable3 - integerVariable1;
int height = integerVariable4 - integerVariable2;
Rectangle rect = new Rectangle(integerVariable1, integerVariable2, width, height);
image1.Draw(rect, new Hsv(0.0, 0.0, (double)byte.MaxValue), 1, Emgu.CV.CvEnum.LineType.EightConnected, 0);
//ImageViewer imageViewer = new ImageViewer(image1.Bitmap, num7);
//imageViewer.Show();
pictureBox2.Image = image1.Bitmap;
}
return(num7);
}
void PerfromOCV()
{
string str1 = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz +-/1234567890{}()_<>\"\\;:*#%$&";
string language = "eng";
ICapture capture = (ICapture)video;
System.Threading.Thread.Sleep(2000);
Mat ImageMat = capture.QueryFrame();
IImage image1 = (IImage)ImageMat; //"Argument0", "Image Object");
language = "eng"; //"Argument1", "OCR Language");
int integerVariable1 = 70; //"Argument2", "Upper Left Corner X coordinate of ROI");
int integerVariable2 = 70; //"Argument3", "Upper Left Corner Y coordinate of ROI");
int integerVariable3 = 70; //"Argument4", "ROI Width (Number of Pixels");
int integerVariable4 = 70; //"Argument5", "ROI Height (Number of Pixels");
bool booleanVariable = false; //"Argument6", "Display Debug Window");
Image <Bgr, byte> image2 = new Image <Bgr, byte>(image1.Bitmap);
image2.ROI = new Rectangle(integerVariable1, integerVariable2, integerVariable3, integerVariable4);
string str2 = @".\\tessdata";
if (!Directory.Exists(str2))
{
Directory.CreateDirectory(str2);
}
HelperMethods.LoadLanguage(str2, language);
HelperMethods.LoadLanguage(str2, "osd");
//HelperMethods.LoadLanguage(str2, language);
//string path = Path.GetFullPath(@"C:\Users\MarquezFr\source\repos\EmguOpenCVExample\EmguOpenCVExample\bin\Debug\tessdata\");
var tesseract = new Tesseract(Path.GetFullPath(str2.Length == 0 || str2.Substring(str2.Length - 1, 1).Equals(Path.DirectorySeparatorChar.ToString()) ? str2 : string.Format("{0}{1}", (object)str2, (object)Path.DirectorySeparatorChar)), language, OcrEngineMode.Default);
tesseract.Init(Path.GetFullPath(str2.Length == 0 || str2.Substring(str2.Length - 1, 1).Equals(Path.DirectorySeparatorChar.ToString()) ? str2 : string.Format("{0}{1}", (object)str2, (object)Path.DirectorySeparatorChar)), language, OcrEngineMode.Default);
//Tesseract tesseract = new Tesseract(path, language, OcrEngineMode.TesseractOnly);
tesseract.SetVariable("tessedit_char_whitelist", str1);
Image <Bgr, byte> image3 = new Image <Bgr, byte>(image2.Bitmap);
if (image1.NumberOfChannels == 1)
{
CvInvoke.CvtColor((IInputArray)image2, (IOutputArray)image3, ColorConversion.Gray2Bgr, 0);
}
else
{
//image3 = (Image<Bgr, byte>)image1.Clone(); //original
image3 = image1.Clone() as Image <Bgr, byte>;
}
//tesseract.SetImage((IInputArray)image3); original
tesseract.SetImage((IInputArray)image3);
if (tesseract.Recognize() != 0)
{
MessageBox.Show(string.Format("OpenCV_PerformOCR: OCR system failed to recognize image. OCR returned: {0}", (object)tesseract.Recognize()));
}
string utF8Text = tesseract.GetUTF8Text();
char[] separator = new char[3]
{
' ',
'\r',
'\n'
};
int length = utF8Text.Split(separator, StringSplitOptions.RemoveEmptyEntries).Length;
if (booleanVariable)
{
//ImageViewer imageViewer = new ImageViewer((IImage)image2);
//int num = (int)imageViewer.ShowDialog();
//imageViewer.Dispose();
}
image2.Dispose();
image3.Dispose();
tesseract.Dispose();
}
