public void SetMatrix(ObservableMatrixArray <float> matrix)
{
this.matrix = matrix;
if (matrix != null)
{
int matrix_size = (int)Math.Sqrt(matrix.getLastInsertedMatrix().Length);
InvokeOnMainThread(() =>
{
this.Text = matrix.MatrixName;
});
matrix.OnMatrixAdd += () => mre.Release();
}
}
private void OnMatrixProcessComplete(float[,] matrix)
{
InvokeOnMainThread(() =>
{
listBox1.Items.Clear();
var interpolated = MatrixOperation.BicubicInterpolation(matrix, 32, 32);
ip.AddMatrix(interpolated);
ip.MatrixName = "32x32 Interpolata";
listBox1.Items.Add(ip);
if (base_matrix.CurrentIndex < 50)
{
base_matrix.AddMatrix(interpolated);
}
if (dam_matrix.CurrentIndex < 1)
{
dam_matrix.AddMatrix(interpolated);
}
base_matrix.MatrixName = "Matrice base " + base_matrix.CurrentIndex;
listBox1.Items.Add(base_matrix);
var matrix_med_base = MatrixOperation.ApplyOperation(x =>
{
return(System.Linq.Enumerable.Average(x));
}, base_matrix.getLastMatrixes(), 32, 32);
var mmd = new ObservableMatrixArray <float>(matrix_med_base);
mmd.MatrixName = "Media Base";
listBox1.Items.Add(mmd);
var matrix_max_base = MatrixOperation.ApplyOperation(x =>
{
return(System.Linq.Enumerable.Max(x));
}, base_matrix.getLastMatrixes(), 32, 32);
var mud = new ObservableMatrixArray <float>(matrix_max_base);
mud.MatrixName = "Max Base";
listBox1.Items.Add(mud);
var matrix_std_base = MatrixOperation.ApplyOperation((x, i, j) =>
{
double sigma = 0;
for (int k = 0; k < x.Length; k++)
{
sigma += Math.Pow(x[k] - matrix_med_base[i, j], 2);
}
return((float)Math.Sqrt(sigma / x.Length));
}, base_matrix.getLastMatrixes(), 32, 32);
var msb = new ObservableMatrixArray <float>(matrix_std_base);
msb.MatrixName = "STD Base";
listBox1.Items.Add(msb);
var matrix_without_background = MatrixOperation.ApplyOperation <float, float>(x =>
{
return(x[2] > x[0] + (2 * x[1]) ? x[2] : 0);
}, new[] { matrix_max_base, matrix_std_base, interpolated }, 32, 32);
mwb.AddMatrix(matrix_without_background);
mwb.MatrixName = "Background Eliminato";
listBox1.Items.Add(mwb);
var matrix_without_max_background = MatrixOperation.ApplyOperation <float, float>(x =>
{
return(x[1] - x[0] > sensibilita ? x[1] - x[0] : 0);
}, new[] { matrix_max_base, interpolated }, 32, 32);
mwmb.AddMatrix(matrix_without_max_background);
mwmb.MatrixName = "Background Max Eliminato";
listBox1.Items.Add(mwmb);
float media = 0;
MatrixOperation.ApplyOperation <float, float>(x =>
{
media += x[0];
return(0);
}, new[] { matrix_without_max_background }, 32, 32);
media /= 1024;
var matrix_without_max_background_mean = MatrixOperation.ApplyOperation <float, float>(x =>
{
return(x[0] > media ? x[0] : 0);
}, new[] { matrix_without_max_background }, 32, 32);
var mwmb01 = new ObservableMatrixArray <float>(matrix_without_max_background_mean);
mwmb01.MatrixName = "Background Max Eliminato sopra media";
listBox1.Items.Add(mwmb01);
float[,] matrix_without_max_background_cp = new float[32, 32];
for (int i = 0; i < 32; i++)
{
for (int j = 0; j < 32; j++)
{
matrix_without_max_background_cp[i, j] = matrix_without_max_background[i, j];
}
}
var centroid = MatrixOperation.CalculateCentroid(matrix_without_max_background_cp);
matrix_with_cluster_center = MatrixOperation.ApplyOperation <float, float>((x, i, j) =>
{
//return i == centroid.x && j == centroid.y && x[1] > matrix_med_base[i, j] + (2 * matrix_std_base[i, j]) ? 1 : 0;
return(i == centroid.x && j == centroid.y ? 1 : 0);
}, new[] { matrix_max_base, interpolated }, 32, 32);
var centroids = MatrixOperation.CalculateCentroids(matrix_without_max_background_cp);
matrix_with_clusters_center = new float[32, 32];
for (int i = 0; i < centroids.x.Length; i++)
{
matrix_with_clusters_center[centroids.x[i], centroids.y[i]] = 1;
}
//Console.WriteLine(centroids.x.Length);
mwcc.AddMatrix(matrix_with_clusters_center);
mwcc.MatrixName = "Clusters center";
listBox1.Items.Add(mwcc);
//TEST X DAMIANO
float dam_media = 0;
float[] dam_array = new float[1024];
MatrixOperation.ApplyOperation <float, float>((x, i, j) =>
{
dam_array[i + j] = x[0];
return(0);
}, new[] { dam_matrix.getLastInsertedMatrix() });
dam_media = dam_array.Skip(1).Take(5).Average() + 8;
label3.Text = "DAM MEDIA : " + (dam_media);
var dam_matrix_without_max_background = MatrixOperation.ApplyOperation <float, float>((x, i, j) =>
{
return(x[0] > dam_media ? 0 : 1);
}, new[] { interpolated }, 32, 32);
dam_mwmb01.AddMatrix(dam_matrix_without_max_background);
dam_mwmb01.MatrixName = "DAM Background Max Eliminato sopra media";
listBox1.Items.Add(dam_mwmb01);
});
}