/// <summary>
/// Method for creating a nice red highlighting rectangle above the cell under cursor
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void pictureBox1_MouseMove(object sender, MouseEventArgs e)
{
try
{
Point cellCoords = BitmapCoordsToCellCoords(PicBoxCoordsToBitmapCoords(e.Location));
if (cellCoords == m_lastCellCoords)
{
return;
}
var cellRectangle =
OcrReader.GetCellCoordinates(m_hLines, m_vLines, cellCoords.X, cellCoords.Y).ToRectangle();
if (!m_lastCellRectangle.IsEmpty)
{
var b = pictureBox1.Image as Bitmap;
for (int y = m_lastCellRectangle.Top; y < m_lastCellRectangle.Bottom; y++)
{
for (int x = m_lastCellRectangle.Left; x < m_lastCellRectangle.Right; x++)
{
Debug.Assert(b != null, "b != null");
b.SetPixel(x, y, m_picture.GetPixel(x, y));
}
}
}
m_lastCellRectangle = cellRectangle;
m_lastCellCoords = cellCoords;
Graphics g = Graphics.FromImage(pictureBox1.Image);
g.FillRectangle(new SolidBrush(Color.FromArgb(50, 255, 0, 0)), cellRectangle);
pictureBox1.Refresh();
} catch {}
}
private void butBrowse_Click(object sender, EventArgs e)
{
OpenFileDialog ofd = new OpenFileDialog
{
CheckFileExists = true,
Multiselect = false,
InitialDirectory = Environment.CurrentDirectory,
Filter = "Image files (*.png, *.jpg, *.bmp, *.jpeg)|*.png;*.jpg;*.bmp;*.jpeg"
};
if (ofd.ShowDialog() == DialogResult.OK)
{
try
{
progressBar1.Show();
pictBox.Image = Image.FromFile(ofd.FileName);
pictBox.Show();
Application.DoEvents();
int[,] table = OcrReader.ParsePicture(ofd.FileName, pictBox);
InitDataTable(dataTable1);
dataTable1.Show();
IntArrayToDataTable(table, dataTable1);
progressBar1.Hide();
lblCheckOCR.Show();
}
catch (FileNotFoundException)
{
progressBar1.Hide();
dataTable1.Hide();
pictBox.Hide();
MessageBox.Show(
"The file with neural network does not exist.",
"Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
catch
{
progressBar1.Hide();
dataTable1.Hide();
pictBox.Hide();
String msg = "An error while parsing image occured. \nPlease make sure that the image is correct. \nCropping image might also help.";
if (Properties.Settings.Default.Method == 1 && Properties.Settings.Default.NeuralNetPath != "Resources")
{
msg = "An error while parsing image occured. \nPlease make sure that the image and the neural network file is correct. \nCropping image might also help.";
}
MessageBox.Show(msg, "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
}
/// <summary>
/// Returns a list of filled cells.
/// Lists through every cell and if at least 1% is non-white, the cell is considered to be non-empty.
/// </summary>
/// <returns></returns>
private List <MyRectangle> FindFilledCells()
{
Color penColor = m_picture.GetPixel(0, 0); // Get color of pen using which the numbers are written
List <MyRectangle> result = new List <MyRectangle>();
for (int x = 0; x < 9; x++)
{
for (int y = 0; y < 9; y++)
{
Rectangle cell = OcrReader.GetCellCoordinates(m_hLines, m_vLines, x, y).ToRectangle();
int numOfPixelsFilled = 0;
for (int i = cell.Left; i < cell.Right; i++)
{
for (int j = cell.Top; j < cell.Bottom; j++)
{
if (m_picture.GetPixel(i, j).Equals(penColor))
{
numOfPixelsFilled++;
}
}
}
// If at least 1% is filled
if (numOfPixelsFilled > NUM_OF_PERCENT_FILLED * (cell.Width * cell.Height))
{
// Test of correctness
/*Graphics g = Graphics.FromImage(pictureBox1.Image);
* g.DrawRectangle(new Pen(Color.Red, 3), cell);
* pictureBox1.Refresh();
* Application.DoEvents();*/
result.Add(new MyRectangle(cell, x, y));
}
}
}
//pictureBox1.Refresh();
return(result);
}
