private void ПорівняльнийТестToolStripMenuItem_Click(object sender, EventArgs e)
{
SimpleMatrix.Matrix kernel = new SimpleMatrix.Matrix(3, 3, new double[] {
1, 6, 1,
6, 36, 6,
1, 6, 1
});
double normilizer = 64;
kernel /= normilizer;
DateTime t1, t2;
double matrixTime, formulasTime;
t1 = DateTime.Now;
DoubleArrayImageOperations.ConvolutionFilter(m_workImage, kernel.data);
t2 = DateTime.Now;
matrixTime = (t2 - t1).TotalMilliseconds;
t1 = DateTime.Now;
BlurEffectWithoutMatrix.Apply(m_workImage);
t2 = DateTime.Now;
formulasTime = (t2 - t1).TotalMilliseconds;
textBox1.Text += Environment.NewLine + "Час обробки з використання матриць: " + matrixTime.ToString("0.000") + "мс" + Environment.NewLine;
textBox1.Text += Environment.NewLine + "Час обробки (формула напряму): " + formulasTime.ToString("0.000") + "мс" + Environment.NewLine;
}
void ApplyFilter(SimpleMatrix.Matrix kernel, double normilizer)
{
kernel /= normilizer;
m_workImage = DoubleArrayImageOperations.ConvolutionFilter(m_workImage, kernel.data);
RefreshWorkImage();
}
//яркость
private void trackBar1_Scroll(object sender, EventArgs e)
{
int value = trackBar1.Value;
BrightnessTextBox.Text = value.ToString();
m_workImage = DoubleArrayImageOperations.ChangeBrightness(m_workImage, value);
OutputBitmapOnPictureBox(BitmapConverter.DoubleRgbToBitmap(m_workImage));
}
//контраст
private void ContrastTrackBar_Scroll(object sender, EventArgs e)
{
int value = ContrastTrackBar.Value;
ContrastTextBox.Text = value.ToString();
m_workImage = DoubleArrayImageOperations.contrast(m_workImage, 1 + value / 100d);
OutputBitmapOnPictureBox(BitmapConverter.DoubleRgbToBitmap(m_workImage));
}
private void button5_Click(object sender, EventArgs e)
{
double sigma = Convert.ToDouble(sigmaTextBox.Text.Replace(".", ","));
GaussianBlur gaussianBlur = new GaussianBlur();
double[][] filter = gaussianBlur.getKernel(sigma);
m_workImage = DoubleArrayImageOperations.ConvolutionFilter(m_workImage, filter);
OutputBitmapOnPictureBox(BitmapConverter.DoubleRgbToBitmap(m_workImage));
}
public Bitmap DoSegmentation(double[,,] arrayImage, double sigma, double k, int minSize, IColorSheme colorSheme)
{
m_height = arrayImage.GetLength(1);
m_width = arrayImage.GetLength(2);
//debug
System.Diagnostics.Debug.WriteLine("Reading done: " + DateTime.Now);
m_colorSheme = colorSheme;
//препроцессинг иображения
arrayImage = colorSheme.Convert(arrayImage);
//сохранение для проведения оценки качества сегментации
m_arrayImageCopy = (double[, , ])arrayImage.Clone();
//debug
System.Diagnostics.Debug.WriteLine("color sheme changed: " + DateTime.Now);
//DebugImageInfo(arrayImage);
//smoothing
GaussianBlur gaussianBlur = new GaussianBlur();
double[][] filter = gaussianBlur.getKernel(sigma);
double[,,] blurredImage = DoubleArrayImageOperations.ConvolutionFilter(arrayImage, filter);
//debug
System.Diagnostics.Debug.WriteLine("Smooting done: " + DateTime.Now);
//тест размещения преобразования цвета
//arrayImage = colorSheme.Convert(arrayImage);
//построение графа
Edge[] edges = buildGraphByImage(blurredImage)
.OrderBy(el => el.w)
.ToArray();
//debug
System.Diagnostics.Debug.WriteLine("graph builded: " + DateTime.Now);
//debugging
System.Diagnostics.Debug.WriteLine("edges total: " + edges.Length);
//double minWeight = edges.Min(el => el.w);
//double maxWeight = edges.Max(el => el.w);
//Edge[] EdgesMoreThanMin = edges.Where(el => el.w > minWeight + 0.1).ToArray();
//Edge[] EdgesZeroWidth = edges.Where(el => el.w < 0.01).ToArray();
//
//Edge[] edgesHor = edges.Where(el => el.neightbourType == NeightbourType.Horizontal).ToArray();
//Edge[] edgesVer = edges.Where(el => el.neightbourType == NeightbourType.Vertical).ToArray();
//Edge[] edgesTopDiag = edges.Where(el => el.neightbourType == NeightbourType.TopDiagonal).ToArray();
//Edge[] edgesBottom = edges.Where(el => el.neightbourType == NeightbourType.BottomDiagonal).ToArray();
//сегментированный лес непересекающихся деревьев
DisjointSet segmentedSet = SegmentOnDisjointSet(k, m_height * m_width, edges); //картинка тут только для передачи размера потому осталась arrayImage
//запоминание в поле для проведения оценки
m_segmentedSet = segmentedSet;
//debug
System.Diagnostics.Debug.WriteLine("Segmented: " + DateTime.Now);
//присоеденить те, что меньше min_size к соседу по ребру
PostProcessSmallComponents(edges, segmentedSet, minSize);
//debug
System.Diagnostics.Debug.WriteLine("Small Component Merged: " + DateTime.Now);
return(SegmentedSetConverter.ConvertToBitmap(segmentedSet, m_height, m_width, out m_componentLength));
//var a = SegmentedSetConverter.ConvertToRealCoordsSegments(segmentedSet, height, width);
//return SegmentedSetConverter.RealCoordsSegmentResultToBitmap(a);
}
public double[,,] Convert(double[,,] arrayImage) => DoubleArrayImageOperations.GetImageInLab(arrayImage);
public double[,,] Convert(double[,,] arrayImage) => DoubleArrayImageOperations.GetGrayScale(arrayImage);
//оттенки серого
private void button2_Click(object sender, EventArgs e)
{
m_workImage = DoubleArrayImageOperations.GetGrayScale(m_workImage);
OutputBitmapOnPictureBox(BitmapConverter.DoubleRgbToBitmap(m_workImage));
}
