public static Bitmap [] ImagenDeTextura(Bitmap Im_Ent, Dictionary <int, double>[] hrs)
{
// conseguir los maximos de las sumas y diferencias
double MaxSuma = PictureAnalizer.MaximoHasha(hrs[0]);
double MaxResta = PictureAnalizer.MaximoHasha(hrs[1]);
double MaxGenrl = 0;
if (MaxSuma > MaxResta)
{
MaxGenrl = MaxSuma;
}
else
{
MaxGenrl = MaxResta;
}
// crear vector de imagenes de textura
Bitmap[] VectImgTxt = new Bitmap[6];
// inicar las imagenes
for (int i = 0; i < 6; i++)
{
VectImgTxt[i] = PictureAnalizer.DibujarNegra(Im_Ent.Width, Im_Ent.Height);
}
// crear una mascara para representar la subventana
Mascara Mx = new Mascara(new Size(3, 3));
// recorrer la imagen
for (int i = 0; i < Im_Ent.Height; i++)
{
for (int j = 0; j < Im_Ent.Width; j++)
{
// conseguir pixel
int Pi = PictureAnalizer.PixelColor2Gray(Im_Ent.GetPixel(j, i));
// cortar contenido de la imagen origina con la mascara
Bitmap subImg = PictureAnalizer.CortarMascaraSobreImagen(Mx, Im_Ent, new Point(j, i));
// calcular las caracteristicas de textura de la subimagen
double[] op = PictureAnalizer.CalcularCaracteristicasTextura(Im_Ent);
// asignar operaciones a la imagen
for (int k = 0; k < 6; k++)
{
int trnas = (int)Math.Round((op[i] * 255) / MaxGenrl);
VectImgTxt[i].SetPixel(j, i, Color.FromArgb(trnas, trnas, trnas));
}
}
}
return(VectImgTxt);
}
private void button26_Click(object sender, EventArgs e)
{
string[] nombres = { "Vacio", "Torres", "Caballos", "Alfiles", "Reinas", "Reyes", "Peones" };
//ActivationNetwork rna = EntrenarRNA();
// rna.Save("save1.rna");
// para cada imagen en la direccion de entrenamiento
DirectoryInfo sc = new DirectoryInfo(rutaEjemplos);
FileInfo[] s = sc.GetFiles();
Bitmap[,] Matzs = null;
double[][] Carz = new double[8 * 8][];
double[] Obj =
{
1, 2, 3, 4, 5, 3, 2, 1,
6, 6, 6, 6, 6, 6, 6, 6,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
6, 6, 6, 6, 6, 6, 6, 6,
1, 2, 3, 4, 5, 3, 2, 1,
};
for (int k = 0; k < 64; k++)
{
Carz[k] = new double[6];
}
int b = 0;
foreach (FileInfo imgEjemp in s)
{
ImagenEntrada.Image = PictureAnalizer.ImagenColor2Gray((Bitmap)Image.FromFile(imgEjemp.FullName));
PictureAnalizer.ImagenEntrada = (Bitmap)ImagenEntrada.Image;
Mascara mX = new Mascara(Mascara.PRDF_Opdr_LPcX, new Size(3, 3), new Point(1, 1));
Mascara mY = new Mascara(Mascara.PRDF_Opdr_LpcY, new Size(3, 3), new Point(1, 1));
ImagenEntrada.Image = PictureAnalizer.DetectarBordes(mX, mY, 0, (Bitmap)ImagenEntrada.Image);
ImagenEntrada.Image.Save(@"C:\Users\frodo\Desktop\ejemplos - copia\" + "imgBorde" + b.ToString() + ".jpeg");
b++;
Matzs = PictureAnalizer.DividirImagen((Bitmap)ImagenEntrada.Image, 8);
ImagenEntrada.Refresh();
System.Threading.Thread.Sleep(1000);
int n = 0;
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 8; j++)
{
Bitmap im = Matzs[j, i];
ImagenEntrada.Image = im;
int p = (int)Obj[n];
string dir = "Piesas/" + nombres[p] + "/";
DirectoryInfo dest = new DirectoryInfo(dir);
FileInfo[] infDir = dest.GetFiles();
switch (p)
{
case 0: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 1: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 2: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 3: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 4: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 5: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
case 6: im.Save(dir + nombres[p] + infDir.Length + ".jpeg"); break;
}
Carz[n] = PictureAnalizer.CalcularCaracteristicasTextura(im);
for (int v = 0; v < Carz[n].Length; v++)
{
Console.WriteLine(Carz[n][v]);
}
ImagenEntrada.Refresh();
System.Threading.Thread.Sleep(100);
n++;
}
}
}
List <Bitmap[]> ListaEntradas = new List <Bitmap[]>();
List <double[][]> ListaCarz = new List <double[][]>();
double carTota = 0;
for (int k = 0; k < 7; k++)
{
ListaEntradas.Add(new Bitmap[1]);
ListaCarz.Add(new double[6][]);
}
string[] rutasInternas = Directory.GetDirectories("Piesas/");
for (int i = 0; i < rutasInternas.Length; i++)
{
string ruta = rutasInternas[i];
string[] rutaSgmnt = ruta.Split('/');
int indx = Array.IndexOf(nombres.ToArray(), rutaSgmnt[1]);
DirectoryInfo infDir = new DirectoryInfo(ruta);
FileInfo[] infFile = infDir.GetFiles("*.jpeg", SearchOption.AllDirectories);
Bitmap[] imgArr = new Bitmap[infFile.Length];
double[][] carArr = new double[infFile.Length][];
carTota += infFile.Length;
for (int j = 0; j < imgArr.Length; j++)
{
imgArr[j] = (Bitmap)Image.FromFile(infFile[j].FullName);
carArr[j] = PictureAnalizer.CalcularCaracteristicasTextura(imgArr[j]);
}
ListaEntradas[indx] = imgArr;
ListaCarz[indx] = carArr;
}
double[][] lSalidas = new double[(int)carTota][];
// { "Vacio", "Torres", "Caballos","Alfiles", "Reinas", "Reyes", "Peones" };
int c = 2;
double[][] MatEntr = new double[(int)carTota][];
int t = 0;
int pi = 0;
foreach (double[][] Mat in ListaCarz)
{
foreach (double[] vector in Mat)
{
MatEntr[t] = vector;
switch (pi)
{
case 0: lSalidas[t] = new double[] { 0, 0, 0, 0 }; break;
case 1: lSalidas[t] = new double[] { 0, 0, 0, 1 }; break;
case 2: lSalidas[t] = new double[] { 0, 0, 1, 0 }; break;
case 3: lSalidas[t] = new double[] { 0, 0, 1, 1 }; break;
case 4: lSalidas[t] = new double[] { 0, 1, 0, 0 }; break;
case 5: lSalidas[t] = new double[] { 0, 1, 0, 1 }; break;
case 6: lSalidas[t] = new double[] { 0, 1, 1, 0 }; break;
}
t++;
}
pi++;
}
ActivationNetwork rna = null;
if (!Directory.Exists("rnsa.rna"))
{
rna = CrearRNA(MatEntr, lSalidas);
rna.Save("rnsa.rna");
}
else
{
rna = (ActivationNetwork)Network.Load("rnsa.rna");
}
Bitmap [] ns = ListaEntradas[0];
foreach (Bitmap x in ns)
{
double [] text = rna.Compute(PictureAnalizer.CalcularCaracteristicasTextura(x));
int l = 0;
for (int f = 0; f < text.Length; f++)
{
if (text[f] == 1)
{
l += (int)Math.Pow(2, f);
}
}
Console.Write(l + " ");
}
// generar arbol
nodo r = new nodo(8, "s");
arbol a1 = new arbol();
r.tablero = a1.TabEjemplo;
a1.raiz = r;
arbol a2 = new arbol();
r.tablero = a2.TabEjemplo;
a2.raiz = r;
imprimirTablero(r);
nodo n1 = a1.generarMovimientos(a1.raiz, arbol.ColorBlanco);
imprimirTablero(n1);
for (int i = 0; i < 10; i++)
{
n1 = a1.generarMovimientos(n1, arbol.ColorBlanco);
imprimirTablero(n1);
nodo n2 = a2.generarMovimientos(n1, arbol.ColorNegroo);
imprimirTablero(n2);
n1 = n2;
}
}