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 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);
}
}
private void button13_Click(object sender, EventArgs e)
{
int n, f;
string path;
Image wrk;
if (checkBox2.Checked)
{
n = 2;
f = 2;
path = "D:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\Images\\0dba4c83f4c7f864d9b7993545cfc.jpg";
}
else
{
n = ns;
f = ft;
if (checkBox1.Checked)
path = "D:\\Users\\Forpatril\\Documents\\Visual Studio 2010\\Projects\\Diploma_cs\\einstein.jpg";
else
{
openFileDialog1.InitialDirectory = Application.StartupPath;
if (openFileDialog1.ShowDialog() != DialogResult.OK) return;
path = openFileDialog1.FileName;
}
}
wrk = new Image(path);
if (wrk.Array == null)
{
MessageBox.Show("Цветное изображение, используйте изображение в градациях серого", "Ошибка", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
path = "";
pictureBox23.Image = wrk.Bitmap;
RunNoise nois = new RunNoise();
nois.a = par[n].a;
nois.b = par[n].b;
nois.id = n;
wrk = nois.Do(wrk, true);
pictureBox24.Image = wrk.Bitmap;
RunFilter filt = new RunFilter();
wrk = filt.Do(wrk, f);
pictureBox25.Image = wrk.Bitmap;
nois = null;
wrk = null;
filt = null;
GC.Collect();
}