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; } }