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}"); }