public static void Analyze(System.ComponentModel.BackgroundWorker worker)
{
int i = 0;
foreach (string file in Directory.GetFiles("C:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\Images", "*.jpg"))
{
Image img = new Image(file);
for (int w = 2; w < 35; w++)
for (int sig = 1; sig < w / 2; sig++)
{
filterclass fc = new filterclass();
Noise n = new Noise();
Image img_n = n.addNoise("gaussian", img, 0, 0.055);
double[] p = new double[] {w, sig, 0.2};
MWNumericArray parameters = new MWNumericArray(p);
MWLogicalArray mw_print = new MWLogicalArray(Form1.print);
MWArray[] Result = fc.filter2(2, img_n.image, "bilateral", parameters, mw_print);
MWNumericArray descriptor = null;
descriptor = (MWNumericArray)Result[0];
double[,] result = null;
result = (double[,])descriptor.ToArray(MWArrayComponent.Real);
Image ret = new Image(result);
MWNumericArray e_descriptor = null;
e_descriptor = (MWNumericArray)Result[1];
ret.Time = (double)e_descriptor.ToScalarDouble();
filterDataContext db = new filterDataContext();
psnrClass ps = new psnrClass();
double psnr = (double)((MWNumericArray)ps.psnr(ret.image, img.image)).ToScalarDouble();
db.add_line("bilateral", "gaussian", img.Height, img.Width, ret.Time, psnr, p[0], p[1], p[2]);
Result = null;
e_descriptor = null;
result = null;
parameters = null;
img_n = null;
n = null;
descriptor = null;
ret = null;
ps = null;
fc = null;
GC.Collect();
}
worker.ReportProgress(i++);
img = null;
GC.Collect();
}
}
public static void Fill(string path, int id, System.ComponentModel.BackgroundWorker worker)
{
int i = 0;
foreach (string file in Directory.GetFiles(path, "*.jpg"))
{
filterDataContext db = new filterDataContext();
Image img = new Image(file);
Noise n = new Noise();
img = n.addNoise("gaussian", img, 0, 0.055);
RunFilter rf = new RunFilter();
Image ret = rf.Do(img, id);
psnrClass ps = new psnrClass();
double psnr = (double)((MWNumericArray)ps.psnr(ret.image, img.image)).ToScalarDouble();
db.add_line(Filters.type[id],"gaussian",img.Height,img.Width,ret.Time,psnr,Form1.pars.par[id][0],Form1.pars.par[id][1],Form1.pars.par[id][2]);
worker.ReportProgress(i++);
}
}
private void button8_Click(object sender, EventArgs e)
{
string path = "D:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\einstein.jpg";
if (!checkBox1.Checked)
{
openFileDialog1.InitialDirectory = Application.StartupPath;
if (openFileDialog1.ShowDialog() != DialogResult.OK) return;
path = openFileDialog1.FileName;
}
image = new Image(path);
if (image.Array == null)
{
MessageBox.Show("Цветное изображение, используйте изображение в градациях серого", "Ошибка", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
path = "";
pictureBox10.Image = image.Bitmap;
RunNoise ns = new RunNoise();
noise = ns.id = comboBox2.SelectedIndex;
ns.a = par[comboBox2.SelectedIndex].a;
ns.b = par[comboBox2.SelectedIndex].b;
Image res = ns.Do(image, 7);
psnrClass p = new psnrClass();
MWArray ps = p.psnr(res.image, image.image);
double pnr = ((double)((MWNumericArray)ps).ToScalarDouble());
label36.Text = pnr.ToString();
label3.Text = "";
im.Clear();
for (int i = 0; i < 11; i++)
im.Add(res);
backgroundWorker1.RunWorkerAsync(120);
backgroundWorker2.RunWorkerAsync(221);
backgroundWorker3.RunWorkerAsync(322);
backgroundWorker4.RunWorkerAsync(423);
backgroundWorker5.RunWorkerAsync(524);
backgroundWorker6.RunWorkerAsync(625);
backgroundWorker7.RunWorkerAsync(726);
backgroundWorker8.RunWorkerAsync(827);
backgroundWorker9.RunWorkerAsync(928);
backgroundWorker10.RunWorkerAsync(1029);
backgroundWorker11.RunWorkerAsync(1120);
}
private void DoWork(object sender, DoWorkEventArgs e)
{
System.ComponentModel.BackgroundWorker worker;
worker = (System.ComponentModel.BackgroundWorker)sender;
int id = (int)e.Argument;
if ((id % 100) / 10 == 0)
{
RunNoise rn = new RunNoise();
rn.id = (id / 100) - 1;
rn.a = par[(id / 100) - 1].a;
rn.b = par[(id / 100) - 1].b;
im[(id / 100) - 1] = rn.Do(image);
}
else if ((id % 100) / 10 == 1)
{
RunFilter rf = new RunFilter();
Image ret = rf.Do(im[(id / 100) - 1], id % 10, (id / 100) - 1);
psnrClass p = new psnrClass();
MWArray ps = p.psnr(ret.image, image.image);
psnr[(id / 100) - 1] = (double)((MWNumericArray)ps).ToScalarDouble();
lb_res res = new lb_res();
res.id = (id / 100) - 1;
res.value = psnr[(id / 100) - 1].ToString("F2") + " " + ret.Time.ToString("F2");
e.Result = res;
}
else if ((id % 100) / 10 == 2)
{
RunFilter rf = new RunFilter();
Image ret = rf.Do(im[(id / 100) - 1], (id / 100) - 1, id % 10, 8);
psnrClass p = new psnrClass();
MWArray ps = p.psnr(ret.image, image.image);
psnr[(id / 100) - 1] = (double)((MWNumericArray)ps).ToScalarDouble();
lb_res res = new lb_res();
res.id = (id / 100) + 6;
res.value = psnr[(id / 100) - 1].ToString("F2") + " " + ret.Time.ToString("F2");
//db.add_line(Filters.type[(id / 100) - 1], RunNoise.type[Form1.noise], ret.Height, ret.Width, ret.Time, psnr[(id / 100) - 1], pars.par[(id / 100) - 1][0], pars.par[(id / 100) - 1][1], pars.par[(id / 100) - 1][2]);
e.Result = res;
}
else
{
//FillDB f = new FillDB();
//f.Fill("C:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\Images", id % 10, worker);
if (id % 100 < 4)
FillDB.Fill("C:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\Images", id % 10, worker);
else
FillDB.Analyze(worker);
}
}
