public void getBatCode()
{
if (SoureceImage != null)
{
try
{
Image <Gray, byte> imgtest = SoureceImage.Clone();
IBarcodeReader reader = new BarcodeReader();
List <BarcodeFormat> Possible = new List <BarcodeFormat>();
Possible.Add(BarcodeFormat.QR_CODE);
Possible.Add(BarcodeFormat.DATA_MATRIX);
reader.Options.PossibleFormats = Possible;
DateTime timeStart = DateTime.Now;
Result result = reader.Decode(imgtest.Bitmap);
double runTime = -1D;
if (result != null)
{
runTime = (result.Timestamp - timeStart.Ticks) / 10000D;
SimpleStatus.Image = Resources.SimpleState_True;
mRuntime.Text = "运行时间:" + runTime + "毫秒";
DataSource = new DataTable();
DataSource.Columns.Add("条码类型", typeof(System.String));
DataSource.Columns.Add("解码的字符串", typeof(System.String));
DataRow newLine = DataSource.NewRow();
newLine["条码类型"] = result.BarcodeFormat.ToString();
newLine["解码的字符串"] = result.Text;
DataSource.Rows.Add(newLine);
SoureceImage.Bitmap = imgtest.Bitmap;
}
else
{
SoureceImage = imgtest.Clone();
}
ShowFormImage();
}
catch (Exception)
{
SimpleStatus.Image = Resources.SimpleState_False;
mRuntime.Text = "运行时间:" + 0 + "毫秒";
ShowFormImage();
}
}
}
private void getOcr()
{
_ocr = new Tesseract("", "eng", OcrEngineMode.TesseractCubeCombined);
_ocr.SetVariable("tessedit_char_blacklist", "ABCDEFGHIJKLMNOPQRSTUVWXYZ - 1234567890");
Bgr drawColor = new Bgr(Color.Blue);
Image <Gray, byte> gray = SoureceImage.Convert <Gray, byte>();
_ocr.Recognize(gray);
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
gray.Draw(c.Region, new Gray(0), 1);
}
DataSource = new DataTable();
DataSource.Columns.Add("字符串", typeof(System.String));
DataRow newLine = DataSource.NewRow();
newLine["字符串"] = _ocr.GetText();
DataSource.Rows.Add(newLine);
SoureceImage.Bitmap = gray.Bitmap;
ShowFormImage();
}
public void imageHanding()
{
if (SoureceImage != null)
{
try
{
Mat img = SoureceImage.Mat;
Image <Gray, byte> otsu = SoureceImage.CopyBlank();
// 转灰度图
//CvInvoke.CvtColor(img, img, ColorConversion.Bgr2Gray);
// 中值滤波(去除椒盐噪声)
CvInvoke.MedianBlur(img, otsu, 3);
// Otsu二值化
CvInvoke.Threshold(otsu, img, 0, 255, ThresholdType.Otsu);
// 高斯滤波
CvInvoke.GaussianBlur(img, img, new Size(3, 3), 0);
// 形态学梯度运算
Mat StructingElement = CvInvoke.GetStructuringElement(ElementShape.Ellipse, new Size(5, 5), new Point(-1, -1));
CvInvoke.MorphologyEx(img, img, MorphOp.Gradient, StructingElement, new Point(-1, -1), 6, BorderType.Default, new MCvScalar(0));
// 边缘检测
CvInvoke.Canny(img, img, 100, 200);
List <RotatedRect> boxList = new List <RotatedRect>();
List <int> index = new List <int>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
// 寻找轮廓
CvInvoke.FindContours(img, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
if (CvInvoke.ContourArea(approxContour, false) > 200)
{
if (approxContour.Size == 4)
{
bool isRectangle = true;
Point[] pts = approxContour.ToArray();
LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
for (int j = 0; j < edges.Length; j++)
{
double angle = Math.Abs(
edges[(j + 1) % edges.Length].GetExteriorAngleDegree(edges[j]));
if (angle < 80 || angle > 100)
{
isRectangle = false;
break;
}
}
if (isRectangle)
{
boxList.Add(CvInvoke.MinAreaRect(approxContour));
}
}
}
}
}
}
Image <Bgr, Byte> lineImage = SoureceImage.Convert <Bgr, byte>().CopyBlank();
Image <Gray, byte> testimg = SoureceImage.CopyBlank();
foreach (RotatedRect box in boxList)
{
lineImage.Draw(box, new Bgr(Color.DarkOrange), 2);
PointF[] vertices = new PointF[4];
vertices = box.GetVertices();
//for (int i = 0; i < 4; i++)
//line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0));
Rectangle brect = box.MinAreaRect();
lineImage.Draw(brect, new Bgr(Color.DarkOrange), 2);
}
otsu.ROI = boxList[1].MinAreaRect();
testimg = otsu.Clone();
otsu.ROI = Rectangle.Empty;
Mat mapMatrix = new Mat();
PointF poi = new PointF(testimg.Size.Width / 2, testimg.Size.Height / 2);
CvInvoke.GetRotationMatrix2D(poi, boxList[1].Angle, 1.2, mapMatrix);
CvInvoke.WarpAffine(testimg, testimg, mapMatrix, testimg.Size);
SoureceImage.Bitmap = testimg.Bitmap;
//ShowFormImage();
}
catch (Exception)
{
SimpleStatus.Image = Resources.SimpleState_False;
mRuntime.Text = "运行时间:" + 0 + "毫秒";
ShowFormImage();
}
}
}
