public LBPCreator(ImageGrayData imageData, bool isTeaching, bool isDivideToFragments, bool isMultithread = true)
{
var needSize = RecognitionParameters.RecognitionFragmentSize;
if (isTeaching)
{
needSize = RecognitionParameters.FragmentsSize;
}
if ((imageData.Width < needSize) ||
(imageData.Height < needSize))
{
throw new ArgumentException("Размер изображения меньше размера фрагмента для разбиения. \n" +
"Невозможно создать LBP-гистограмму");
}
fragmentSize = needSize;
this.isTeaching = isTeaching;
this.isDivideToFragments = isDivideToFragments;
this.isMultithread = isMultithread;
data = imageData.Data;
width = imageData.Width;
height = imageData.Height;
feature = null;
ConstructFeature();
}
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 GLCMCreator(ImageGrayData imageData, bool isTeaching, bool isDivideToFragments, bool isMultithread = true)
{
var needSize = RecognitionParameters.RecognitionFragmentSize;
if (isTeaching)
{
needSize = RecognitionParameters.FragmentsSize;
}
if ((imageData.Width < needSize) ||
(imageData.Height < needSize))
{
throw new ArgumentException("Размер изображения меньше размера фрагмента для разбиения. \n" +
"Невозможно создать матрицу взаимной встречаемости");
}
fragmentSize = needSize;
this.isTeaching = isTeaching;
this.isDivideToFragments = isDivideToFragments;
this.isMultithread = isMultithread;
PrepareData(imageData);
ConstructFeature();
}
private void PrepareData(ImageGrayData imageData)
{
width = imageData.Width;
height = imageData.Height;
data = new byte[width, height];
var grayData = imageData.Data;
int quantizers = 256 / RecognitionParameters.GLCMSize;
for (int y = 0; y < height; ++y)
{
for (int x = 0; x < width; ++x)
{
data[x, y] = (byte)(grayData[x, y] / quantizers);
}
}
}
