/// <summary>
/// This method is preparing Learning Matrix basis on image from LearningPictures
/// </summary>
/// <returns></returns>
private double[][] CreateLearningMatrix()
{
//loading and cuting learning matrix for each character
GraphicProcessing graph = new GraphicProcessing();
Bitmap mBitmap;
System.Drawing.Image img = histogramAforge.Properties.Resources.learningAll;
mBitmap = new Bitmap(img);
Grayscale greyScaleFilter = new Grayscale(1.0, 0.0, 0.0);
mBitmap = greyScaleFilter.Apply(mBitmap);
Threshold tresholdFilter = new Threshold(120);
tresholdFilter.ApplyInPlace(mBitmap);
List <Bitmap> listOfCharacters = graph.ProcesLearningImage(mBitmap);
//crate input matrix for each character to learn NN
double[][] learnigTable = new double[listOfCharacters.Count][];
int i = 0;
foreach (Bitmap map in listOfCharacters)
{
learnigTable[i] = CreteInputMatrix(map);
i++;
}
return(learnigTable);
}
private void openToolStripMenuItem_Click(object sender, EventArgs e)
{
if (openFileDialog1.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
pictureBox1.Image = (Bitmap)System.Drawing.Image.FromFile(openFileDialog1.FileName);
Bitmap imageSecond;
imageSecond = (Bitmap)System.Drawing.Image.FromFile(openFileDialog1.FileName);
Grayscale greyScaleFilter = new Grayscale(1.0, 0.0, 0.0);
imageSecond = greyScaleFilter.Apply(imageSecond);
Threshold tresholdFilter = new Threshold(120);
tresholdFilter.ApplyInPlace(imageSecond);
pictureBox2.Image = imageSecond;
imageSecond.Save("imageSecond.bmp");
GraphicProcessing graphicProcesing = new GraphicProcessing();
CharactersList = graphicProcesing.ProcesImage(imageSecond);
LoadCharacterToView();
}
}
