public TextureSample(ImageGrayData imageData, bool isDivideToFragments)
{
sample = imageData;
var glcmCreator = new GLCMCreator(sample, false, isDivideToFragments);
var lbpCreator = new LBPCreator(sample, false, isDivideToFragments);
glcm = glcmCreator.Feature;
lbp = lbpCreator.Feature;
}
public TextureSample(ImageGrayData imageData, bool isDivideToFragments)
{
sample = imageData;
var glcmCreator = new GLCMCreator(sample, false, isDivideToFragments);
var lbpCreator = new LBPCreator(sample, false, isDivideToFragments);
glcm = glcmCreator.Feature;
lbp = lbpCreator.Feature;
}
private void AddFeatures(GLCMFeature glcm, LBPFeature lbp, string path)
{
lock ((knownFiles as ICollection).SyncRoot)
{
++featuresCount;
glcmFeatures.Add(glcm);
lbpFeatures.Add(lbp);
knownFiles.Add(path);
}
}
private void ConstructFeature()
{
if (isDivideToFragments)
{
var list = GetSubfeatures();
feature = GLCMFeature.BuildStandart(list);
}
else
{
feature = GetGLCMFeature(new Fragment(0, 0, width, height));
}
}
public double GetDistance(GLCMFeature other)
{
double result = 0;
var dWeight = RecognitionParameters.GLCMDeviationWeight;
for (int i = 0; i < 8; ++i)
{
var weight = ((i + 1) % 2 == 2) ? (dWeight) : (1.0);
result += weight * MathHelpers.Sqr(feature[i] - other[i]);
}
return(Math.Sqrt(result));
}
private void ConstructFeature()
{
if (isDivideToFragments)
{
var list = GetSubfeatures();
feature = GLCMFeature.BuildStandart(list);
}
else
{
feature = GetGLCMFeature(new Fragment(0, 0, width, height));
}
}
public GLCMFeature PrepareGLCM(out double average, out double variance)
{
var gStandart = GLCMFeature.BuildStandart(glcmFeatures);
var gDistances = new double[glcmFeatures.Count];
for (int i = 0; i < glcmFeatures.Count; ++i)
{
gDistances[i] = gStandart.GetDistance(glcmFeatures[i]);
}
average = MathHelpers.GetAverage(gDistances, 0, glcmFeatures.Count);
variance = MathHelpers.GetVariance(gDistances, average, 0, glcmFeatures.Count);
return(gStandart);
}
public List<int> CompactGLCM(GLCMFeature standart, double average, double variance)
{
var result = new List<int>();
var tValue = alglib.studenttdistribution(glcmFeatures.Count - 1, RecognitionParameters.CompactFactor);
var deviation = Math.Sqrt(variance);
for (int i = 0; i < glcmFeatures.Count; ++i)
{
var value = Math.Abs(standart.GetDistance(glcmFeatures[i]) - average) / deviation;
if (value <= tValue)
{
result.Add(i);
}
}
return result;
}
public List <int> DischargeGLCM(GLCMFeature standart, double average, double variance)
{
var result = new List <int>();
var tValue = alglib.studenttdistribution(glcmFeatures.Count - 1, RecognitionParameters.CompactFactor);
var deviation = Math.Sqrt(variance);
for (int i = 0; i < glcmFeatures.Count; ++i)
{
var value = Math.Abs(standart.GetDistance(glcmFeatures[i]) - average) / deviation;
if (value > tValue)
{
result.Add(i);
}
}
return(result);
}
internal void LoadKnowledges(XmlNode node)
{
Name = node.Attributes["name"].Value;
int r, g, b;
int.TryParse(node.Attributes["R"].Value, out r);
int.TryParse(node.Attributes["G"].Value, out g);
int.TryParse(node.Attributes["B"].Value, out b);
RegionColor = Color.FromArgb(r, g, b);
var samples = node.ChildNodes;
foreach (XmlNode item in samples)
{
var file = item.ChildNodes[0].Attributes["path"].Value;
var glcm = new GLCMFeature();
glcm.LoadKnowledges(item.ChildNodes[1]);
var lbp = new LBPFeature();
lbp.LoadKnowledges(item.ChildNodes[2]);
AddFeatures(glcm, lbp, file);
}
}
public double GetDistance(GLCMFeature other)
{
double result = 0;
var dWeight = RecognitionParameters.GLCMDeviationWeight;
for (int i = 0; i < 8; ++i)
{
var weight = ((i + 1) % 2 == 2) ? (dWeight) : (1.0);
result += weight * MathHelpers.Sqr(feature[i] - other[i]);
}
return Math.Sqrt(result);
}
private void AddFeatures(GLCMFeature glcm, LBPFeature lbp, string path)
{
lock ((knownFiles as ICollection).SyncRoot)
{
++featuresCount;
glcmFeatures.Add(glcm);
lbpFeatures.Add(lbp);
knownFiles.Add(path);
}
}
internal void LoadKnowledges(XmlNode node)
{
Name = node.Attributes["name"].Value;
int r, g, b;
int.TryParse(node.Attributes["R"].Value, out r);
int.TryParse(node.Attributes["G"].Value, out g);
int.TryParse(node.Attributes["B"].Value, out b);
RegionColor = Color.FromArgb(r, g, b);
var samples = node.ChildNodes;
foreach (XmlNode item in samples)
{
var file = item.ChildNodes[0].Attributes["path"].Value;
var glcm = new GLCMFeature();
glcm.LoadKnowledges(item.ChildNodes[1]);
var lbp = new LBPFeature();
lbp.LoadKnowledges(item.ChildNodes[2]);
AddFeatures(glcm, lbp, file);
}
}