private void btnOpen_Click(object sender, EventArgs e)
{
if (openSample.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
sample = new RecognitionSample(TextureRecognition.Instance.Core);
sample.LoadSample(openSample.FileName);
pbSample.Image = sample.GetSampleImage();
}
lbTextureClasses.Items.Clear();
var core = TextureRecognition.Instance.Core;
for (int i = 0; i < core.TextureClassCount; ++i)
{
lbTextureClasses.Items.Add(core.GetTextureClass(i).Name);
}
lbTextureClasses.SelectedIndex = -1;
}
private void RecognizeThread(object param)
{
var id = (int)param;
RecognitionCore core = null;
RecognitionSample currentSample = null;
Bitmap currentImage = null;
string pref = "";
switch (id)
{
case 1:
pref = " (Полная выборка)";
core = coreF;
currentSample = SampleF;
currentImage = workImage;
break;
case 2:
pref = " (Компактная выборка)";
core = coreC;
currentSample = SampleC;
currentImage = workImage;
break;
case 3:
pref = " (Разряженная выборка)";
core = coreD;
currentSample = SampleD;
currentImage = workImage;
break;
default:
break;
}
if (core == null)
{
core = new RecognitionCore();
for (int i = 0; i < recognition.Core.TextureClassCount; ++i)
{
var their = recognition.Core.GetTextureClass(i);
core.AddTextureClass(their.Name, their.RegionColor);
}
for (int i = 0; i < core.TextureClassCount; ++i)
{
var currentClass = core.GetTextureClass(i);
this.BeginInvoke(
new Action(delegate()
{
lbOutput.Items.Add("Начато обучение классу " + currentClass.Name);
lbOutput.SelectedIndex = lbOutput.Items.Count - 1;
}));
switch (id)
{
case 1:
currentClass.Teach(teachingSamples[i], GetImagesToTeach(teachingSamples[i]));
break;
case 2:
currentClass.TeachCompact(teachingSamples[i], GetImagesToTeach(teachingSamples[i]));
break;
case 3:
currentClass.TeachDischarged(teachingSamples[i], GetImagesToTeach(teachingSamples[i]));
break;
default:
currentClass.Teach(teachingSamples[i], GetImagesToTeach(teachingSamples[i]));
break;
}
while (currentClass.IsTeaching)
{
Thread.Sleep(200);
}
var result = this.BeginInvoke(
new Action(delegate()
{
var count = currentClass.KnownSamplesNumber(TextureFeatures.GLCM);
var part = count / (float)teachingSamples[i].Count;
lbOutput.Items.Add(" После обучения получено образцов GLCM: " +
count.ToString() + " (" + part.ToString() + ")");
count = currentClass.KnownSamplesNumber(TextureFeatures.LBP);
part = count / (float)teachingSamples[i].Count;
lbOutput.Items.Add(" После обучения получено образцов LBP: " +
count.ToString() + " (" + part.ToString() + ")");
lbOutput.SelectedIndex = lbOutput.Items.Count - 1;
}));
while (!result.IsCompleted)
{
Thread.Sleep(50);
}
}
}
switch (id)
{
case 1:
coreF = core;
break;
case 2:
coreC = core;
break;
case 3:
coreD = core;
break;
default:
break;
}
if (currentSample == null)
{
this.BeginInvoke(
new Action(delegate()
{
lbOutput.Items.Add("Начато распознавание тестового изображения");
lbOutput.SelectedIndex = lbOutput.Items.Count - 1;
}));
currentSample = new RecognitionSample(core, sample.Path);
currentSample.Recognize();
currentImage = currentSample.GetSampleImage();
switch (id)
{
case 1:
SampleF = currentSample;
workImage = currentImage;
break;
case 2:
SampleC = currentSample;
workImage = currentImage;
break;
case 3:
SampleD = currentSample;
workImage = currentImage;
break;
default:
break;
}
}
var iRes = this.BeginInvoke(
new Action(delegate()
{
lbOutput.Items.Add(currentSample.Path);
var result = sample.CompareFeature(currentSample, TextureFeatures.GLCM);
lbOutput.Items.Add(pref + " Соответствие GLCM = " + result.ToString());
result = sample.CompareFeature(currentSample, TextureFeatures.LBP);
lbOutput.Items.Add(pref + " Соответствие LBP = " + result.ToString());
lbOutput.SelectedIndex = lbOutput.Items.Count - 1;
pbWork.Image = currentImage;
msMenu.Enabled = true;
btnSelectSample.Enabled = true;
btnSelectSamples.Enabled = true;
cbTextureClass.Enabled = true;
btnCompact.Enabled = true;
btnDischarged.Enabled = true;
btnFull.Enabled = true;
}));
while (!iRes.IsCompleted)
{
Thread.Sleep(20);
}
complete = true;
}