TEMPLATE MATCHING ET RECONNAISSANCE D'OBJETS AVEC OPENCV (EMGU CV)

            // Convertimg the master image to a bitmap
            Bitmap masterImage = (Bitmap) pbxMaster.Image;

            // Normalazing it to the grayscal mode
            Image<Gray, Byte> normalizedMasterImage = new Image<Gray, Byte>(masterImage);

            // Searching for the sample pictures in the master image
            foreach (var objectImage in imagesList1.Images)
            {
                // Searching for this image in the master image
                Image<Gray, Byte> normalizedObjectImage = new Image<Gray, Byte>((Bitmap)objectImage);
                // Contains informations about positions.
                Image<Gray, float> result = normalizedMasterImage.MatchTemplate(normalizedObjectImage, Emgu.CV.CvEnum.TM_TYPE.CV_TM_CCORR_NORMED);
                
                // Minimum accuracy found, maximum accuracy found (1 is the best (Complete Matching))
                double[] min, max;
                Point[] minLocations, maxLocations;
                result.MinMax(out min, out max, out minLocations, out maxLocations);

                ImageLocations sampleLocations = new ImageLocations();
                sampleLocations.Image = objectImage;
                sampleLocations.Locations = new List<Point>();
                
                // Get the region of the master picture that does not match to the template at all.
                //sampleLocations.Locations.AddRange(minLocations);
                // Get the regions of the master picture that match our sample.
                sampleLocations.Locations.AddRange(maxLocations);

                // Drawing a rectangle on it
                DrawRectangleOnMaster(sampleLocations);
                CustomLocation = sampleLocations;
                GlobalSampleLocations.Add(sampleLocations);
            }

// Voir le zip