private void OutputSegmentations(Workbook wb, string filename, int width, int height)
{
Worksheet ws = wb.Worksheets[0];
//image reading
Bitmap b = new Bitmap(filename);
double[,,] arrayImage = BitmapConverter.BitmapToDoubleRgb(b);
//MemoryStream memoryStream = new MemoryStream();
//b.Save(memoryStream, System.Drawing.Imaging.ImageFormat.Jpeg);
//processing cycle
int counter = 0;
for (int k = kMin, i = 0; k <= kMax; k += kStep, i++)
{
int currentRow = i * (RowsForDetails + 1) + startImageRowNumber;
for (int min = minMin, j = startImageColumnNumber; min <= minMax; min += minStep, j++)
{
//получение результатов сегментации
Segmentation segmentationObj = new Segmentation();
Bitmap res = segmentationObj.DoSegmentation(b, 0.84, k, min, new SegmentationBasedOnGraph.ColorShemes.RGBColorSheme());
//приведение результатов к нужному размеру
res = Service.ResizeImage(res, width, height);
///сохранения результата в поток
MemoryStream memoryStream = new MemoryStream();
res.Save(memoryStream, System.Drawing.Imaging.ImageFormat.Jpeg);
//добавления сегментации на страницу
ws.Cells[currentRow + 1, j].Value = segmentationObj.m_componentLength.ToString();
int idx = ws.Pictures.Add(currentRow, j, memoryStream);
ws.Cells[currentRow + 1, j].Value = $"Сегментів: {segmentationObj.m_componentLength}";
ws.Cells[currentRow + 2, j].Value = $"Сума внутрішньокластерних дисперсій: {segmentationObj.GetInternalDifferenceAssessment().ToString("0.00")}";
counter++;
System.Diagnostics.Debug.WriteLine($"Сегментация {counter} посчитана");
}
}
}
private void button4_Click(object sender, EventArgs e)
{
textBox1.Text = String.Empty;
double sigma = Convert.ToDouble(sigmaTextBox.Text.Replace(".", ","));
int k = Convert.ToInt32(KtextBox.Text);
int min = Convert.ToInt32(MinTextBox.Text);
IColorSheme colorSheme = null;
if (GreyScaleRadioButton.Checked)
{
colorSheme = new GrayScaleColorSheme();
}
if (RgbRadioButton.Checked)
{
colorSheme = new RGBColorSheme();
}
if (LabRadioButton.Checked)
{
colorSheme = new LabColorSheme();
}
Segmentation segmentObj = new Segmentation();
segmented = segmentObj.DoSegmentation(m_workImage, sigma, k, min, colorSheme);
OutputBitmapOnPictureBox(segmented);
outoutSegmented = true;
//вывод в текстбокс
textBox1.Text += $"Сегментів: {segmentObj.m_componentLength}" + Environment.NewLine + Environment.NewLine;
if (AssessmentCheckBox.Checked)
{
textBox1.Text += segmentObj.CalcAssessments();
}
}