Exemple #1
0
        private static double[] GetTrainingImage(FeatureRecognizer_Image image, ConvolutionBase2D kernel)
        {
            // Enlarge the initial image by the kernel's reduction so that after convolution, it is the desired size
            VectorInt reduction = kernel.GetReduction();

            if (reduction.X != reduction.Y)
            {
                throw new ApplicationException(string.Format("Kernel should be square: {0}x{1}", reduction.X, reduction.Y));
            }

            BitmapSource bitmap = new BitmapImage(new Uri(image.Filename));

            bitmap = UtilityWPF.ResizeImage(bitmap, IMAGESIZE + reduction.X, true);

            Convolution2D retVal = UtilityWPF.ConvertToConvolution(bitmap, 1d);

            if (retVal.Width != retVal.Height)
            {
                retVal = Convolutions.ExtendBorders(retVal, IMAGESIZE + reduction.X, IMAGESIZE + reduction.X);        //NOTE: width or height is already the desired size, this will just enlarge the other to make it square
            }

            retVal = Convolutions.Convolute(retVal, kernel);
            retVal = Convolutions.Abs(retVal);

            // It looks better when it's black on white
            double[] inverted = retVal.Values.
                                Select(o => 1d - o).
                                ToArray();

            return(inverted);
        }
Exemple #2
0
        private void AddImage(string filename, string category)
        {
            string uniqueID = Guid.NewGuid().ToString();

            // Try to read as a bitmap.  The caller should have a catch block that will handle non images (better to do this now than bomb later)
            BitmapSource bitmap = new BitmapImage(new Uri(filename));

            // Build entry
            FeatureRecognizer_Image entry = new FeatureRecognizer_Image()
            {
                Category = category,
                UniqueID = uniqueID,
                Filename = filename,
                //ImageControl = FeatureRecognizer.GetTreeviewImageCtrl(new BitmapImage(new Uri(filename))),
                //Bitmap = bitmap,
            };

            // Store it
            //FeatureRecognizer.AddImage(entry, _images, treeImages, cboImageLabel);
            _images.Add(entry);
        }