//tabcontrol indexChange
private void tabControl1_SelectedIndexChanged(object sender, EventArgs e)
{
TabControl page = sender as TabControl;
switch (page.SelectedIndex)
{
case 1:
#region Transfer to grayscale
imageConverter.Progress += ImageConverter_Progress;
if (originalImage != null)
{
grayBitmap = imageConverter.TransferToGrayscaleGetBitmap(originalImage);
GrayScalePictureBox.Image = grayBitmap;
}
else
{
grayBitmap = OpenImage();
GrayScalePictureBox.Image = grayBitmap;
}
break;
#endregion
case 2:
#region Binarization image
ThresholdValue();
if (grayBitmap != null)
{
imageConverter.Progress += ImageConverter_Progress;
Bitmap binarizationImage = imageConverter.BinarizationThresholdMethodGetBitmap(grayBitmap);
binary = binarizationImage;
//rotate image
Bitmap afterRotete = rotateBitmapImage.RotateBitmap(binary, GetAngleRotate());
binary = afterRotete;
BinarizationPictureBox.Image = binary;
var resultGisto = transformation.Parameters(imageConverter.BinarizationThresholdMethodGetArray(binary));
mainList = resultGisto;
}
else if (binary == null)
{
binary = OpenImage();
//rotate image
Bitmap afterRotete = rotateBitmapImage.RotateBitmap(binary, GetAngleRotate());
BinarizationPictureBox.Image = afterRotete;
binary = afterRotete;
var resultGisto = transformation.Parameters(imageConverter.BinarizationThresholdMethodGetArray(afterRotete));
mainList = resultGisto;
}
break;
#endregion
case 3:
#region Segmentation
imageConverter.Progress += ImageConverter_Progress;
var arrayImage = imageConverter.BinarizationThresholdMethodGetArray(binary);
Segmentation segment = new Segmentation(arrayImage, mainList);
// remove up and down element image and
Bitmap UpDownRemove = imageConverter.CreateBitmap(segment.RemoveUpAndDownElementImage(mainList, arrayImage));
//removing unnecessary lines segment.SelectionOfAreas()
var segmentImageInfo = imageConverter.CreateBitmap(segment.SelectionOfAreas());
//get array new small image
var arrayNewImage = imageConverter.BinarizationThresholdMethodGetArray(segmentImageInfo);
//get list params histogramm
var paramsForHistogrammNewImage = transformation.HorizontalImageGetParameters(arrayNewImage);
var miniArray = segment.SelectionOfAreasInHorizontalImage(paramsForHistogrammNewImage, arrayNewImage);
miniArray = segment.RemoveBorder(miniArray);
var finishImageRecognition = imageConverter.CreateBitmap(miniArray);
SegmentationPictureBox.Image = finishImageRecognition;
//var afterBin = imageConverter.BinarizationThresholdMethodGetArray(seg);
//var Gisto2 = trans.HorizontalImageGetParameters(afterBin);
DividedImage = miniArray;
//get params miniImage fo segmentations numbers
DividedImageList = transformation.HorizontalImageGetParameters(miniArray);
ImageRecognitionPictureBox1.Image = finishImageRecognition;
DividedIntoImageButton.Enabled = true;
binary = null;
grayBitmap = null;
numberImageCollection.Clear();
#endregion
break;
}
}
//save collection image
private void DividedIntoImageButton_Click(object sender, EventArgs e)
{
ObjectSerializer<Perceptron> objSerializer = new ObjectSerializer<Perceptron>();
Perceptron yourObjectFromFile = objSerializer.GetSerializedObject(PathObjectSerializer);
if (yourObjectFromFile != null)
{
per = yourObjectFromFile;
}
else
{
MessageBox.Show("Perceptron not trained");
}
Segmentation segment = new Segmentation(null, null);
numberImageCollection = segment.GetCollectionofImage(DividedImageList, DividedImage);
ImageFormat format = ImageFormat.Bmp;
SaveFileDialog saveFileDialog = new SaveFileDialog();
if (saveFileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
int x = 0;
DividedimageList1.ImageSize = new Size(50, 50);
foreach (var item in numberImageCollection)
{
item.bitmap.Save(saveFileDialog.FileName + item.Name + ".bmp", format);
DividedimageList1.Images.Add(Image.FromFile(saveFileDialog.FileName + item.Name + ".bmp"));
DividedListView.Items.Add("image", x++);
}
DividedListView.LargeImageList = DividedimageList1;
}
}
