private void button5_Click(object sender, EventArgs e)
{
dataGridView1.ColumnCount = 0;
Bitmap img1 = new Bitmap(filePath1);
Bitmap img2 = new Bitmap(filePath2);
int radius = 0;
if (comboBox1.SelectedItem == null)
{
radius = 1;
}
else
{
radius = Convert.ToInt32(comboBox1.SelectedItem);
}
OutputWrapper outputWrapper = ConverterImg.Compare(img1, img2, radius);
var rowCountY = outputWrapper.BoolArr.GetLength(1);
var rowLengthX = outputWrapper.BoolArr.GetLength(0);
for (int i = 0; i < rowLengthX; i++)
{
dataGridView1.Columns.Add($"{i}", $"{i}");
dataGridView1.Columns[i].Width = i.ToString().Length * 10;
}
for (int i = 0; i < outputWrapper.BoolArr.GetLength(1); i++)
{
var row = new DataGridViewRow();
for (int j = 0; j < outputWrapper.BoolArr.GetLength(0); j++)
{
row.Cells.Add(new DataGridViewTextBoxCell()
{
Value = Convert.ToInt16(outputWrapper.BoolArr[j, i])
});
}
dataGridView1.Rows.Add(row);
}
dataGridView1.Refresh();
}
private void button7_Click(object sender, EventArgs e)
{
using (Image image1 = new Bitmap(pictureBox1.Image))
using (Image image2 = new Bitmap(pictureBox2.Image))
using (Image image3 = new Bitmap(pictureBox3.Image))
{
List <Image> images = new List <Image>();
images.Add(image1);
images.Add(image2);
images.Add(image3);
string appDataPath = Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData);
string outputPath = $"{appDataPath}\\output.jpg";
ConverterImg.MergeImages(image1, image2, outputPath, image3);
ConverterImg.MergeImagesList(images, outputPath, System.Drawing.Imaging.ImageFormat.Jpeg);
images.Dispose();
}
}
private void button6_Click(object sender, EventArgs e)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
int radius = 0;
float percentageOfTruth = 0;
if (comboBox1.SelectedItem == null)
{
radius = 1;
}
else
{
radius = Convert.ToInt32(comboBox1.SelectedItem);
}
if (comboBox2.SelectedItem == null)
{
percentageOfTruth = 0.01f;
}
else
{
percentageOfTruth = float.Parse(comboBox2.SelectedItem.ToString());
}
dataGridView1.ColumnCount = 0;
Bitmap img1 = new Bitmap(filePath1);
Bitmap img2 = new Bitmap(filePath2);
OutputWrapper outputWrapper = ConverterImg.CompareWithTolerance(
img1: img1,
img2: img2,
areaRadius: radius,
percentageOfTruth: percentageOfTruth / 100);
pictureBox3.Image = outputWrapper.Bitmap;
var rowCountY = outputWrapper.BoolArr.GetLength(1);
var rowLengthX = outputWrapper.BoolArr.GetLength(0);
for (int i = 0; i < rowLengthX; i++)
{
dataGridView1.Columns.Add($"{i}", $"{i}");
dataGridView1.Columns[i].Width = i.ToString().Length * 10;
}
for (int i = 0; i < outputWrapper.BoolArr.GetLength(1); i++)
{
var row = new DataGridViewRow();
for (int j = 0; j < outputWrapper.BoolArr.GetLength(0); j++)
{
row.Cells.Add(new DataGridViewTextBoxCell()
{
Value = Convert.ToInt16(outputWrapper.BoolArr[j, i])
});
}
dataGridView1.Rows.Add(row);
}
dataGridView1.Refresh();
textBox1.AppendText($"Pixel radius = {radius} with percentage of true valued cells:{percentageOfTruth}%{Environment.NewLine}");
//textBox1.AppendText($"{outputWrapper.Numeric1} % simmilarity{Environment.NewLine}");
textBox1.AppendText($"{outputWrapper.Percentage} % simmilarity{Environment.NewLine}out of {outputWrapper.AllPixels} pixels {outputWrapper.DifferentPixels} are different{Environment.NewLine}");
//textBox1.AppendText($"{outputWrapper.Colors.Count} different colors detected in picture{Environment.NewLine}");
//outputWrapper.ColorsSorted = Converter.ReturnSortedColors(outputWrapper).ColorsSorted;
//outputWrapper.ColorsSorted = OutputWrapper.ReturnSortedColors(outputWrapper).ColorsSorted;
//outputWrapper = new ConverterDependency().ReturnSortedColors(outputWrapper);
//foreach (var item in outputWrapper.ColorsSorted)
//{
// textBox1.AppendText($"{item}{Environment.NewLine}");
//}
textBox1.AppendText($"Parallel execution in {stopwatch.Elapsed}{Environment.NewLine}");
}
