private void useHaarInsideExternalContour_button_Click(object sender, EventArgs e)
{
Bitmap bmpWidthGivenEdge = new Bitmap(pictureBox4.Image);
Bitmap bmpInsideTheContour = CannyWithHaarWavelet.FindEdgesInsideGivenEdge(bmpWidthGivenEdge, this.imageArray);
HaarForm newHaarForm = new HaarForm(Int32.Parse(waveletLength_textBox.Text), Convert.ToDouble(bottomThresholdHaar_textBox.Text),
Convert.ToDouble(upperThresholdHaar_textBox.Text), bmp = bmpInsideTheContour);
newHaarForm.Show();
}
public static double[] DoTheAnalysis(double sigma, double bottomThresholdCanny, double upperThresholdCanny,
int waveletLength, double bottomThresholdHaar, double upperThresholdHaar, int widthOfBrightnessDiffer, double snr = -1)
{
decimal[,] origImage = MakeOriginImArr(widthOfBrightnessDiffer);
decimal[,] origImageCopyForHaar = MakeOriginImArr(widthOfBrightnessDiffer);
double[,] perfectEdgeImage = MakePerfectEdgeImArr();
Bitmap bmpToSaveForTest = new Bitmap(origImage.GetLength(1), origImage.GetLength(0));
for (int i = 0; i < origImage.GetLength(0); i++)
{
for (int j = 0; j < origImage.GetLength(1); j++)
{
bmpToSaveForTest.SetPixel(j, i, Color.FromArgb((int)Math.Ceiling(origImage[i, j]), (int)Math.Ceiling(origImage[i, j]), (int)Math.Ceiling(origImage[i, j])));
}
}
if (snr > -1)
{
origImage = AddGausNoise(origImage, snr);// зашумляем изображение
origImageCopyForHaar = AddGausNoise(origImageCopyForHaar, snr);
}
CannyForm = new CannyForm(sigma, bottomThresholdCanny, upperThresholdCanny, bmp: null, imageArray: origImage); //создаем окно для вывода результатов метода Канни, передавая путь к выбранному файлу
double[,] cannyResult = new double[CannyForm.cannyResult.Height, CannyForm.cannyResult.Width];
for (int i = 0; i < cannyResult.GetLength(0); i++)
{
for (int j = 0; j < cannyResult.GetLength(1); j++)
{
cannyResult[i, j] = CannyForm.cannyResult.GetPixel(j, i).R;
}
}
HaarForm = new HaarForm(waveletLength, bottomThresholdHaar, upperThresholdHaar, bmp: null, imageArray: origImageCopyForHaar); //создаем окно для вывода результатов метода Хаара, передавая путь к выбранному файлу
double[,] haarResult = new double[HaarForm.resultBmp.Height, HaarForm.resultBmp.Width];
for (int i = 0; i < haarResult.GetLength(0); i++)
{
for (int j = 0; j < haarResult.GetLength(1); j++)
{
haarResult[i, j] = HaarForm.resultBmp.GetPixel(j, i).R;
}
}
double cannyPrettCrit = CountPrettCriteriaWithoutBorderPixels(perfectEdgeImage, cannyResult, waveletLength);
double haarPrettCrit = CountPrettCriteriaWithoutBorderPixels(perfectEdgeImage, haarResult, waveletLength);
double[] prettCrit = new double[2];
prettCrit[0] = cannyPrettCrit;
prettCrit[1] = haarPrettCrit;
return(prettCrit);
}
private void useHaarInCannyMethod_button_Click(object sender, EventArgs e)
{
HaarForm HaarForm = new HaarForm(filePath, Int32.Parse(waveletLength_textBox.Text), Convert.ToDouble(bottomThresholdHaar_textBox.Text), Convert.ToDouble(upperThresholdHaar_textBox.Text)); //создаем окно для вывода результатов метода Канни, передавая путь к выбранному файлу
HaarForm.Show();
}
