/// <summary>
/// Convert picture to vector
/// </summary>
/// <param name="picture">The picture.</param>
/// <returns></returns>
public sbyte[] ConvertToVector(PictureContainer picture)
{
vectorLength = picture.Size * picture.Size;
var vector = new sbyte[vectorLength];
for (var i = 0; i < picture.Size; i++)
{
for (var j = 0; j < picture.Size; j++)
{
var pixel = picture.Picture.GetPixel(i, j);
if (pixel.R > 250)
{
vector[i * picture.Size + j] = 1;
}
else
{
vector[i * picture.Size + j] = -1;
}
}
}
return vector;
}
/// <summary>
/// Generates the specified path.
/// </summary>
/// <param name="path">The path.</param>
/// <param name="noiseLevel">The noise level.</param>
/// <param name="pictureSize">Size of the picture.</param>
/// <returns></returns>
public static String Generate(String path, int noiseLevel, int pictureSize)
{
var noisePicturePath = CreateNewPath();
File.Copy(path, noisePicturePath);
var picture = new PictureContainer(noisePicturePath, pictureSize);
return Generate(picture, noiseLevel);
}
/// <summary>
/// Buttons the recognize click.
/// </summary>
/// <param name="sender">The sender.</param>
/// <param name="e">The <see cref="EventArgs"/> instance containing the event data.</param>
private void ButtonRecognizeClick(object sender, EventArgs e)
{
if (helper == null)
{
return;
}
var neuronHelper = new NeuronHelper();
var picture = new PictureContainer(picturePath, 10);
var vector = neuronHelper.ConvertToVector(picture);
var percentage = helper.Recognize(vector);
textBoxA.Text = Math.Abs(percentage[0]).ToString(CultureInfo.InvariantCulture);
textBoxB.Text = Math.Abs(percentage[1]).ToString(CultureInfo.InvariantCulture);
textBoxC.Text = Math.Abs(percentage[2]).ToString(CultureInfo.InvariantCulture);
picture.Picture.Dispose();
}
/// <summary>
/// Generates the specified picture.
/// </summary>
/// <param name="picture">The picture.</param>
/// <param name="noiseLevel">The noise level.</param>
/// <returns></returns>
private static String Generate(PictureContainer picture, int noiseLevel)
{
int randomValue;
Color pixel;
for (var i = 0; i < picture.Size; i++)
{
for (var j = 0; j < picture.Size; j++)
{
pixel = picture.Picture.GetPixel(i, j);
randomValue = Random.Next(0, 100);
if (randomValue < noiseLevel)
{
picture.Picture.SetPixel(i, j, InvertPixel(pixel));
}
}
}
var oldPicture = PicturePath;
PicturePath = CreateNewPath();
picture.Picture.Save(PicturePath);
picture.Picture.Dispose();
DeleteFile(oldPicture);
return PicturePath;
}
/// <summary>
/// Buttons the statistics click.
/// </summary>
/// <param name="sender">The sender.</param>
/// <param name="e">The <see cref="System.EventArgs"/> instance containing the event data.</param>
private void ButtonStatisticsClick(object sender, EventArgs e)
{
if (picturePath == null)
{
MessageBox.Show(Resources.ApplicationForm_ButtonStatisticsClick_Choose_picture_);
return;
}
var helper = new NeuronHelper();
var picture = new PictureContainer(picturePath, 13);
var vector = helper.ConvertToVector(picture);
var network = new HopfieldNetwork();
var thread = new Thread(() => ChooseCorrectVector(network, vector), 214748364);
thread.Start();
thread.Join();
picture.Picture.Dispose();
}
/// <summary>
/// Buttons the teach click.
/// </summary>
/// <param name="sender">The sender.</param>
/// <param name="e">The <see cref="System.EventArgs"/> instance containing the event data.</param>
private void ButtonTeachClick(object sender, EventArgs e)
{
var helper = new NeuronHelper();
var picture = new PictureContainer(PicturesPath.PathToOriginalA, 13);
NeuronHelper.VectorA = helper.ConvertToVector(picture);
var matrixA = helper.CreateMatrix(NeuronHelper.VectorA);
picture = new PictureContainer(PicturesPath.PathToOriginalB, 13);
NeuronHelper.VectorB = helper.ConvertToVector(picture);
var matrixB = helper.CreateMatrix(NeuronHelper.VectorB);
picture = new PictureContainer(PicturesPath.PathToOriginalC, 13);
NeuronHelper.VectorC = helper.ConvertToVector(picture);
var matrixC = helper.CreateMatrix(NeuronHelper.VectorC);
HopfieldNetwork.MatrixW = helper.CreateCoefficientsMatrix(matrixA, matrixB, matrixC);
textBoxStatistics.Text += @"Network has been taught." + Environment.NewLine;
ScrollTextBox();
}
