internal void findHaarResultsFromBmp()
{
Bitmap a = new Bitmap(pictureBox1.Image);
this.imageArray = new decimal[a.Height, a.Width];
for (int i = 0; i < a.Height; i++)
{
for (int j = 0; j < a.Width; j++)
{
this.imageArray[i, j] = a.GetPixel(j, i).R;
}
}
CannyWithHaarWavelet.GrayScale(a);
pictureBox2_1.Image = CannyWithHaarWavelet.HaarWaveletHorisontal(a, waveletLength);
Bitmap b = new Bitmap(a);
CannyWithHaarWavelet.Non_Maximum_Suppression(b);
pictureBox3_1.Image = CannyWithHaarWavelet.Double_Threshold(b, bottomThreshold, upperThreshold);
Bitmap c = new Bitmap(b);
CannyWithHaarWavelet.Hysteresis_Thresholding(c, "Haar");
Bitmap a2 = new Bitmap(pictureBox1.Image);
CannyWithHaarWavelet.GrayScale(a2);
pictureBox2_2.Image = CannyWithHaarWavelet.HaarWaveletVertical(a2, waveletLength);
Bitmap b2 = new Bitmap(a2);
CannyWithHaarWavelet.Non_Maximum_Suppression(b2);
Bitmap b3 = CannyWithHaarWavelet.Double_Threshold(b2, bottomThreshold, upperThreshold);
pictureBox3_2.Image = b3;
Bitmap c2 = new Bitmap(b2);
CannyWithHaarWavelet.Hysteresis_Thresholding(c2, "Haar");
Bitmap resultBmp = CannyWithHaarWavelet.SumHorisAndVerticHaarResults(c, c2);
pictureBox4.Image = resultBmp;
}
public HaarForm(int waveletLength, double bottomThreshold, double upperThreshold, Bitmap bmp = null, decimal[,] imageArray = null)// перегружаем метод, чтобы принять на вход изображение, а не ссылку на него
{
InitializeComponent();
this.bmp = bmp;
this.waveletLength = waveletLength;
this.bottomThreshold = bottomThreshold;
this.upperThreshold = upperThreshold;
pictureBox1.Image = bmp;
if (imageArray != null)
{
this.imageArray = imageArray;
Bitmap bmp1 = new Bitmap(imageArray.GetLength(1), imageArray.GetLength(0));
for (int i = 0; i < imageArray.GetLength(0); i++)
{
for (int j = 0; j < imageArray.GetLength(1); j++)
{
bmp1.SetPixel(j, i, Color.FromArgb((int)imageArray[i, j], (int)imageArray[i, j], (int)imageArray[i, j]));
}
}
pictureBox1.Image = bmp1;
decimal[,] imageArrayCopyNeeded = new decimal[imageArray.GetLength(0), imageArray.GetLength(1)];
for (int i = 0; i < imageArray.GetLength(0); i++)
{
for (int j = 0; j < imageArray.GetLength(1); j++)
{
imageArrayCopyNeeded[i, j] = imageArray[i, j];
}
}
decimal[,] imageArrayNew = CannyWithHaarWavelet.HaarWaveletHorisontal(imageArray, waveletLength);
Bitmap bmpFromArray = new Bitmap(imageArrayNew.GetLength(1), imageArrayNew.GetLength(0));
for (int i = 0; i < bmpFromArray.Height; i++)
{
for (int j = 0; j < bmpFromArray.Width; j++)
{
bmpFromArray.SetPixel(j, i, Color.FromArgb((int)imageArrayNew[i, j], (int)imageArrayNew[i, j], (int)imageArrayNew[i, j]));
}
}
pictureBox2_1.Image = bmpFromArray;
Bitmap b = new Bitmap(bmpFromArray);
Bitmap bmpFromImageArrayNew = CannyWithHaarWavelet.Non_Maximum_Suppression(bmp = null, imageArrayNew);
pictureBox3_1.Image = CannyWithHaarWavelet.Double_Threshold(bmpFromImageArrayNew, bottomThreshold, upperThreshold);
Bitmap c = new Bitmap(bmpFromImageArrayNew);
resultBmp = CannyWithHaarWavelet.Hysteresis_Thresholding(c, "Haar");
pictureBox4.Image = resultBmp;
}
else if (bmp != null)
{
Bitmap a = new Bitmap(pictureBox1.Image);
this.imageArray = new decimal[a.Height, a.Width];
for (int i = 0; i < a.Height; i++)
{
for (int j = 0; j < a.Width; j++)
{
this.imageArray[i, j] = a.GetPixel(j, i).R;
}
}
CannyWithHaarWavelet.GrayScale(a);
pictureBox2_1.Image = CannyWithHaarWavelet.HaarWaveletHorisontal(a, waveletLength);
Bitmap b = new Bitmap(a);
CannyWithHaarWavelet.Non_Maximum_Suppression(b);
pictureBox3_1.Image = CannyWithHaarWavelet.Double_Threshold(b, bottomThreshold, upperThreshold);
Bitmap c = new Bitmap(b);
CannyWithHaarWavelet.Hysteresis_Thresholding(c, "Haar");
Bitmap a2 = new Bitmap(pictureBox1.Image);
CannyWithHaarWavelet.GrayScale(a2);
pictureBox2_2.Image = CannyWithHaarWavelet.HaarWaveletVertical(a2, waveletLength);
Bitmap b2 = new Bitmap(a2);
CannyWithHaarWavelet.Non_Maximum_Suppression(b2);
pictureBox3_2.Image = CannyWithHaarWavelet.Double_Threshold(b2, bottomThreshold, upperThreshold);
Bitmap c2 = new Bitmap(b2);
CannyWithHaarWavelet.Hysteresis_Thresholding(c2, "Haar");
Bitmap resultBmp = CannyWithHaarWavelet.SumHorisAndVerticHaarResults(c, c2);
pictureBox4.Image = resultBmp;
}
}