public void ProcessImageInteractive(string path)
{
using (var image = new Mat(path))
{
var preProcessedImage = image.Clone().CvtColor(ColorConversionCodes.BGR2GRAY);
try
{
var states = new List <dynamic>();
foreach (var preprocessor in _preProcessors)
{
states.Add(preprocessor.PreProcessImage(ref preProcessedImage, image));
}
var contourResults = new List <ContourResult>();
foreach (var boundaryDetector in _contourDetectors)
{
contourResults.AddRange(boundaryDetector.DetectDocumentContours(preProcessedImage, image));
}
for (var i = 0; i < _preProcessors.Length; i++)
{
foreach (var contourResult in contourResults)
{
_preProcessors[i].CorrectContours(contourResult, states[i]);
}
}
//foreach (var contourResult in contourResults)
//{
// Cv2.DrawContours(image, new List<IEnumerable<Point>> { contourResult.Points }, -1, Scalar.Pink, 2);
//}
using (new Window(WindowMode.Normal, preProcessedImage))
{
Cv2.WaitKey();
}
foreach (var scorer in _scorers)
{
scorer.Score(contourResults, preProcessedImage, image);
}
var contour = contourResults.OrderByDescending(_ => _.Score)
.FirstOrDefault();
if (contour != null)
{
Cv2.DrawContours(preProcessedImage, new List <IEnumerable <Point> > {
contour.Points
}, -1, Scalar.White, 2);
using (var resultImage = _extractor.Extract(image, contour.Points))
{
using (new Window(WindowMode.Normal, image))
using (new Window(WindowMode.Normal, preProcessedImage))
using (new Window(WindowMode.Normal, resultImage))
{
Cv2.WaitKey();
}
}
}
}
finally
{
preProcessedImage.Dispose();
}
}
}
