private void CreateTemplates()
{
if (_frame != null)
{
Image <Bgr, byte> image = new Image <Bgr, byte>(BitmapConvert.BitmapImageToBitmap(_frame));
new ShowContoursForm(processor.templates, processor.samples, image).ShowDialog();
}
else
{
MessageBox.Show("要先识别一张图片");
}
}
private void Recognize()
{
//settings
processor.minContourLength = _contourLength;
processor.minContourArea = _contourArea;
processor.finder.maxACFDescriptorDeviation = _maxACFDesc;
processor.finder.minACF = _minACF;
processor.finder.minICF = _minICF;
if (_originFrame == null)
{
return;
}
Image <Bgr, byte> frame = new Image <Bgr, byte>(BitmapConvert.BitmapImageToBitmap(_originFrame));
//process image
processor.ProcessImage(frame);
Font font = new Font("Times New Roman", 24);//16
Bitmap bmpFrame = frame.ToBitmap();
Graphics e = Graphics.FromImage(bmpFrame);
//e.DrawString(lbFPS.Content.ToString(), new Font("Times New Roman", 16), Brushes.Yellow, new PointF(1, 1));
Brush bgBrush = new SolidBrush(Color.Blue);
Brush foreBrush = new SolidBrush(Color.Red);
Pen borderPen = new Pen(Color.FromArgb(150, 0, 255, 0));
//
if (_showContours)
{
foreach (var contour in processor.contours)
{
if (contour.Size > 1)
{
e.DrawLines(Pens.Red, contour.ToArray());
}
}
}
//
lock (processor.foundTemplates)
foreach (FoundTemplateDesc found in processor.foundTemplates)
{
//做什么？？
if (found.template.name.EndsWith(".png") || found.template.name.EndsWith(".jpg"))
{
DrawAugmentedReality(found, e);
continue;
}
Rectangle foundRect = found.sample.contour.SourceBoundingRect;
System.Drawing.Point p1 = new System.Drawing.Point((foundRect.Left + foundRect.Right) / 2, foundRect.Top);
string text = found.template.name;
e.DrawRectangle(borderPen, foundRect);
e.DrawString(text, font, bgBrush, new PointF(p1.X + 1 - font.Height / 3, p1.Y + 1 - font.Height));
e.DrawString(text, font, foreBrush, new PointF(p1.X - font.Height / 3, p1.Y - font.Height));
}
_frame = BitmapConvert.toBitmapImage(bmpFrame);
base.OnPropertyChanged("Frame");
}
private void EdgeDetect()
{
if (_image != null)
{
try
{
if (_isChecked)
{
_progressValue = 0;
base.OnPropertyChanged("ProgressValue");
Bitmap _bmpImage = BitmapConvert.BitmapImageToBitmap(_image);
Bitmap edge;
Canny.DetectCannyEdges(_bmpImage, out edge, _kernelSize, _sigma, _thrHigh, _thrLow);
_cannyImage = BitmapConvert.toBitmapImage(edge);
base.OnPropertyChanged("CannyImage");
Bitmap gf, np, se, we;
Canny.GaussianFilter(_bmpImage, out gf, _kernelSize, _sigma);
_GFImage = BitmapConvert.toBitmapImage(gf);
base.OnPropertyChanged("GFImage");
Canny.Suppression(_bmpImage, out np, _kernelSize, _sigma);
_NMSImage = BitmapConvert.toBitmapImage(np);
base.OnPropertyChanged("NMSImage");
Canny.Threshold(_bmpImage, out se, out we, _kernelSize, _sigma, _thrHigh, _thrLow);
_WEImage = BitmapConvert.toBitmapImage(we);
base.OnPropertyChanged("WEImage");
_SEImage = BitmapConvert.toBitmapImage(se);
base.OnPropertyChanged("SEImage");
}
else
{
Bitmap _bmpImage = BitmapConvert.BitmapImageToBitmap(_image);
//获得灰度图
Image <Gray, byte> grayFrame = new Image <Gray, byte>(_bmpImage);
if (_equalizeHist)
{
grayFrame._EqualizeHist();//autocontrast
}
//高斯平滑
Image <Gray, byte> smoothedGrayFrame = grayFrame.PyrDown();
smoothedGrayFrame = smoothedGrayFrame.PyrUp();
//canny
Image <Gray, byte> cannyFrame = null;
if (_smooth)
{
cannyFrame = smoothedGrayFrame.Canny(_thresh, _threshLinking);
grayFrame = smoothedGrayFrame;
}
else
{
grayFrame = grayFrame.Canny(_thresh, _threshLinking);
}
//局部自适应阈值二值化，阈值本身作为了一个变量，检测更有效
//CvInvoke.cvAdaptiveThreshold(grayFrame, grayFrame, 255, Emgu.CV.CvEnum.ADAPTIVE_THRESHOLD_TYPE.CV_ADAPTIVE_THRESH_MEAN_C, Emgu.CV.CvEnum.THRESH.CV_THRESH_BINARY, adaptiveThresholdBlockSize + adaptiveThresholdBlockSize % 2 + 1, adaptiveThresholdParameter);
CvInvoke.AdaptiveThreshold(grayFrame, grayFrame, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.MeanC, Emgu.CV.CvEnum.ThresholdType.Binary, _blockSize + _blockSize % 2 + 1, _parameter);
//
grayFrame._Not();
//
if (cannyFrame != null)
{
grayFrame._Or(cannyFrame); //试验了一下，这样轮廓会更加明显
}
_cannyImage = BitmapConvert.toBitmapImage(grayFrame.ToBitmap());
base.OnPropertyChanged("CannyImage");
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
}
