‫ساخت یک بارکدخوان با استفاده از OpenCV و ZXing.Net

// load the image and convert it to grayscale
var image = new Mat(fileName);
if (rotation != 0)
{    rotateImage(image, image, rotation, 1);
}
if (debug)
{    Cv2.ImShow("Source", image);    Cv2.WaitKey(1); // do events
}
var gray = new Mat();
var channels = image.Channels();
if (channels > 1)
{    Cv2.CvtColor(image, gray, ColorConversion.BgrToGray);
}
else
{    image.CopyTo(gray);
}

// compute the Scharr gradient magnitude representation of the images
// in both the x and y direction
var gradX = new Mat();
Cv2.Sobel(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0, ksize: -1);
//Cv2.Scharr(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0);
var gradY = new Mat();
Cv2.Sobel(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1, ksize: -1);
//Cv2.Scharr(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1);
// subtract the y-gradient from the x-gradient
var gradient = new Mat();
Cv2.Subtract(gradX, gradY, gradient);
Cv2.ConvertScaleAbs(gradient, gradient);
if (debug)
{    Cv2.ImShow("Gradient", gradient);    Cv2.WaitKey(1); // do events
}

// blur and threshold the image
var blurred = new Mat();
Cv2.Blur(gradient, blurred, new Size(9, 9));
var threshImage = new Mat();
Cv2.Threshold(blurred, threshImage, thresh, 255, ThresholdType.Binary);
if (debug)
{    Cv2.ImShow("Thresh", threshImage);    Cv2.WaitKey(1); // do events
}
// construct a closing kernel and apply it to the thresholded image
var kernel = Cv2.GetStructuringElement(StructuringElementShape.Rect, new Size(21, 7));
var closed = new Mat();
Cv2.MorphologyEx(threshImage, closed, MorphologyOperation.Close, kernel);
if (debug)
{    Cv2.ImShow("Closed", closed);    Cv2.WaitKey(1); // do events
}
// perform a series of erosions and dilations
Cv2.Erode(closed, closed, null, iterations: 4);
Cv2.Dilate(closed, closed, null, iterations: 4);
if (debug)
{    Cv2.ImShow("Erode & Dilate", closed);    Cv2.WaitKey(1); // do events
}

//find the contours in the thresholded image, then sort the contours
//by their area, keeping only the largest one
Point[][] contours;
HiearchyIndex[] hierarchyIndexes;
Cv2.FindContours(    closed,    out contours,    out hierarchyIndexes,    mode: ContourRetrieval.CComp,    method: ContourChain.ApproxSimple);
if (contours.Length == 0)
{    throw new NotSupportedException("Couldn't find any object in the image.");
}
var contourIndex = 0;
var previousArea = 0;
var biggestContourRect = Cv2.BoundingRect(contours[0]);
while ((contourIndex >= 0))
{    var contour = contours[contourIndex];    var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour    var boundingRectArea = boundingRect.Width * boundingRect.Height;    if (boundingRectArea > previousArea)    {        biggestContourRect = boundingRect;        previousArea = boundingRectArea;    }    contourIndex = hierarchyIndexes[contourIndex].Next;
}
var barcode = new Mat(image, biggestContourRect); //Crop the image
Cv2.CvtColor(barcode, barcode, ColorConversion.BgrToGray);
Cv2.ImShow("Barcode", barcode);
Cv2.WaitKey(1); // do events

 PM> Install-Package ZXing.Net

private static string getBarcodeText(Mat barcode)
{    // `ZXing.Net` needs a white space around the barcode    var barcodeWithWhiteSpace = new Mat(new Size(barcode.Width + 30, barcode.Height + 30), MatType.CV_8U, Scalar.White);    var drawingRect = new Rect(new Point(15, 15), new Size(barcode.Width, barcode.Height));    var roi = barcodeWithWhiteSpace[drawingRect];    barcode.CopyTo(roi);    Cv2.ImShow("Enhanced Barcode", barcodeWithWhiteSpace);    Cv2.WaitKey(1); // do events    return decodeBarcodeText(barcodeWithWhiteSpace.ToBitmap());
}
private static string decodeBarcodeText(System.Drawing.Bitmap barcodeBitmap)
{    var source = new BitmapLuminanceSource(barcodeBitmap);    // using http://zxingnet.codeplex.com/    // PM> Install-Package ZXing.Net    var reader = new BarcodeReader(null, null, ls => new GlobalHistogramBinarizer(ls))    {        AutoRotate = true,        TryInverted = true,        Options = new DecodingOptions        {            TryHarder = true,            //PureBarcode = true,            /*PossibleFormats = new List<BarcodeFormat>                    {                        BarcodeFormat.CODE_128                        //BarcodeFormat.EAN_8,                        //BarcodeFormat.CODE_39,                        //BarcodeFormat.UPC_A                    }*/        }    };    //var newhint = new KeyValuePair<DecodeHintType, object>(DecodeHintType.ALLOWED_EAN_EXTENSIONS, new Object());    //reader.Options.Hints.Add(newhint);    var result = reader.Decode(source);    if (result == null)    {        Console.WriteLine("Decode failed.");        return string.Empty;    }    Console.WriteLine("BarcodeFormat: {0}", result.BarcodeFormat);    Console.WriteLine("Result: {0}", result.Text);    var writer = new BarcodeWriter    {        Format = result.BarcodeFormat,        Options = { Width = 200, Height = 50, Margin = 4},        Renderer = new ZXing.Rendering.BitmapRenderer()    };    var barcodeImage = writer.Write(result.Text);    Cv2.ImShow("BarcodeWriter", barcodeImage.ToMat());    return result.Text;
}

var barcodeClone = barcode.Clone();
var barcodeText = getBarcodeText(barcodeClone);
if (string.IsNullOrWhiteSpace(barcodeText))
{    Console.WriteLine("Enhancing the barcode...");    //Cv2.AdaptiveThreshold(barcode, barcode, 255,        //AdaptiveThresholdType.GaussianC, ThresholdType.Binary, 9, 1);    //var th = 119;    var th = 100;    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.ToZero);    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.Binary);    barcodeText = getBarcodeText(barcode);
}
Cv2.Rectangle(image,    new Point(biggestContourRect.X, biggestContourRect.Y),    new Point(biggestContourRect.X + biggestContourRect.Width, biggestContourRect.Y + biggestContourRect.Height),    new Scalar(0, 255, 0),    2);
if (debug)
{    Cv2.ImShow("Segmented Source", image);    Cv2.WaitKey(1); // do events
}
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();