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;
            }
        }