public IEnumerable <Match> FindMatches(IPattern Template, double Similarity)
{
using var result = new DisposableMat();
// max is used for tmccoeff
Imgproc.MatchTemplate(Mat, (Template as DroidCvPattern)?.Mat, result.Mat, Imgproc.TmCcoeffNormed);
Imgproc.Threshold(result.Mat, result.Mat, 0.1, 1, Imgproc.ThreshTozero);
while (true)
{
using var minMaxLocResult = Core.MinMaxLoc(result.Mat);
var score = minMaxLocResult.MaxVal;
if (score >= Similarity)
{
var loc = minMaxLocResult.MaxLoc;
var region = new Region((int)loc.X, (int)loc.Y, Template.Width, Template.Height);
yield return(new Match(region, score));
using var mask = new DisposableMat();
// Flood fill eliminates the problem of nearby points to a high similarity point also having high similarity
const double floodFillDiff = 0.05;
Imgproc.FloodFill(result.Mat, mask.Mat, loc, new Scalar(0),
new Rect(),
new Scalar(floodFillDiff), new Scalar(floodFillDiff),
0);
}
else
{
break;
}
}
}
public bool IsMatch(IPattern Template, double Similarity)
{
using var result = new DisposableMat();
Imgproc.MatchTemplate(Mat, (Template as DroidCvPattern)?.Mat, result.Mat, Imgproc.TmCcoeffNormed);
using var minMaxLocResult = Core.MinMaxLoc(result.Mat);
return(minMaxLocResult.MaxVal >= Similarity);
}
DisposableMat Match(DroidCvPattern Template)
{
var result = new DisposableMat();
if (Template.Mask != null)
{
Imgproc.MatchTemplate(Mat, Template.Mat, result.Mat, Imgproc.TmCcorrNormed, Template.Mask);
}
else
{
Imgproc.MatchTemplate(Mat, Template.Mat, result.Mat, Imgproc.TmCcoeffNormed);
}
return(result);
}
private void match_eye(Rect area, Mat mTemplate, int type)
{
Point matchLoc;
Mat mROI = mGray.Submat(area);
int result_cols = mROI.Cols() - mTemplate.Cols() + 1;
int result_rows = mROI.Rows() - mTemplate.Rows() + 1;
// Check for bad template size
if (mTemplate.Cols() == 0 || mTemplate.Rows() == 0)
{
return;
}
Mat mResult = new Mat(result_cols, result_rows, CvType.Cv8u);
switch (type)
{
case TM_SQDIFF:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmSqdiff);
break;
case TM_SQDIFF_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmSqdiffNormed);
break;
case TM_CCOEFF:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcoeff);
break;
case TM_CCOEFF_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcoeffNormed);
break;
case TM_CCORR:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcorr);
break;
case TM_CCORR_NORMED:
Imgproc.MatchTemplate(mROI, mTemplate, mResult, Imgproc.TmCcorrNormed);
break;
}
Core.MinMaxLocResult mmres = Core.MinMaxLoc(mResult);
// there is difference in matching methods - best match is max/min value
if (type == TM_SQDIFF || type == TM_SQDIFF_NORMED)
{
matchLoc = mmres.MinLoc;
}
else
{
matchLoc = mmres.MaxLoc;
}
Point matchLoc_tx = new Point(matchLoc.X + area.X, matchLoc.Y + area.Y);
Point matchLoc_ty = new Point(matchLoc.X + mTemplate.Cols() + area.X,
matchLoc.Y + mTemplate.Rows() + area.Y);
Imgproc.Rectangle(mRgba, matchLoc_tx, matchLoc_ty, new Scalar(255, 255, 0, 255));
Rect rec = new Rect(matchLoc_tx, matchLoc_ty);
}