public MatchPosition Match(Mat sample, Mat template)
{
MatchPosition mp = PyramidMatch(sample, template);
mp.ImageSize = sample.Size;
return(mp);
}
public MatchPosition LineScan(Mat sample, Rectangle virticalRect, Rectangle horizontalRect)
{
MatchPosition mp = new MatchPosition();
Mat virticalTemplate = new Mat(sample, virticalRect); //掃描方向與圖像中的線方向相反
Mat horizontalTemplate = new Mat(sample, horizontalRect);
mp.X = VirticalScan(horizontalTemplate);
mp.Y = HorizontalScan(virticalTemplate);
mp.Score = 0;
return(mp);
}
MatchPosition MatchPyrDown(Mat sample, Mat template, int level)
{
MatchPosition mp;
if (level <= 0)
{
return(CvMatch(sample, template));
}
else
{
Mat s = new Mat();
CvInvoke.PyrDown(sample, s, Emgu.CV.CvEnum.BorderType.Default);
Mat t = new Mat();
CvInvoke.PyrDown(template, t, Emgu.CV.CvEnum.BorderType.Default);
mp = MatchPyrDown(s, t, level - 1);
s.Dispose();
t.Dispose();
}
Rectangle r = new Rectangle((int)Math.Round(mp.X * 2) - 3, (int)Math.Round(mp.Y * 2) - 3, template.Cols + 6, template.Rows + 6);
if (r.X < 0)
{
r.X = 0;
}
if (r.Y < 0)
{
r.Y = 0;
}
if (r.X + r.Width > sample.Cols)
{
r.Width = sample.Cols - r.X;
}
if (r.Y + r.Height > sample.Rows)
{
r.Height = sample.Rows - r.Y;
}
Mat level2 = new Mat(sample, r);
MatchPosition p2 = CvMatch(level2, template);
p2.X += r.Left;
p2.Y += r.Top;
return(p2);
}
public MatchPosition MatchThickEdge(Mat sample, Mat template)
{
Mat thr1 = new Mat();
CvInvoke.AdaptiveThreshold(template, thr1, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.MeanC, Emgu.CV.CvEnum.ThresholdType.Binary, 9, 4);
Mat sTemplate = new Mat();
CvInvoke.GaussianBlur(thr1, sTemplate, new Size(7, 7), 0);
thr1.Dispose();
Mat thr2 = new Mat();
CvInvoke.AdaptiveThreshold(sample, thr2, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.MeanC, Emgu.CV.CvEnum.ThresholdType.Binary, 9, 4);
Mat sSample = new Mat();
CvInvoke.GaussianBlur(thr2, sSample, new Size(7, 7), 0);
thr2.Dispose();
OpenCV3MatchUMat matcher = new OpenCV3MatchUMat();
MatchPosition mp = matcher.Match(sSample, sTemplate);
return(mp);
}
MatchPosition PyramidMatch(Mat sample, Mat template)
{
int level = 0;
Size sz = template.Size;
while (true)
{
sz.Width = sz.Width / 2;
sz.Height = sz.Height / 2;
if (sz.Width * sz.Height > MinimiumArea)
{
level++;
}
else
{
break;
}
}
MatchPosition mp = MatchPyrDown(sample, template, level);
mp.X += (template.Cols) / 2.0f;
mp.Y += (template.Rows) / 2.0f;
return(mp);
}
