Beispiel #1
0
        /// <summary>
        /// Calculate Gradient vector between the given pixel and its right and bottom ones
        /// </summary>
        /// <param name="x">pixel x-coordinate</param>
        /// <param name="y">pixel y-coordinate</param>
        /// <param name="ImageMatrix">colored image matrix</param>
        /// <returns></returns>
        private static Vector2D CalculateGradientAtPixel(int x, int y, RGBPixel[,] ImageMatrix)
        {
            Vector2D gradient = new Vector2D();

            RGBPixel mainPixel    = ImageMatrix[y, x];
            double   pixelGrayVal = 0.21 * mainPixel.red + 0.72 * mainPixel.green + 0.07 * mainPixel.blue;

            if (y == GetHeight(ImageMatrix) - 1)
            {
                //boundary pixel.
                for (int i = 0; i < 3; i++)
                {
                    gradient.Y = 0;
                }
            }
            else
            {
                RGBPixel downPixel        = ImageMatrix[y + 1, x];
                double   downPixelGrayVal = 0.21 * downPixel.red + 0.72 * downPixel.green + 0.07 * downPixel.blue;

                gradient.Y = pixelGrayVal - downPixelGrayVal;
            }

            if (x == GetWidth(ImageMatrix) - 1)
            {
                //boundary pixel.
                gradient.X = 0;
            }
            else
            {
                RGBPixel rightPixel        = ImageMatrix[y, x + 1];
                double   rightPixelGrayVal = 0.21 * rightPixel.red + 0.72 * rightPixel.green + 0.07 * rightPixel.blue;

                gradient.X = pixelGrayVal - rightPixelGrayVal;
            }


            return(gradient);
        }
Beispiel #2
0
        /// <summary>
        /// Open an image and load it into 2D array of colors (size: Height x Width)
        /// </summary>
        /// <param name="ImagePath">Image file path</param>
        /// <returns>2D array of colors</returns>
        public static RGBPixel[,] OpenImage(string ImagePath)
        {
            Bitmap original_bm = new Bitmap(ImagePath);
            int    Height      = original_bm.Height;
            int    Width       = original_bm.Width;

            RGBPixel[,] Buffer = new RGBPixel[Height, Width];

            unsafe
            {
                BitmapData bmd = original_bm.LockBits(new Rectangle(0, 0, Width, Height), ImageLockMode.ReadWrite, original_bm.PixelFormat);
                int        x, y;
                int        nWidth   = 0;
                bool       Format32 = false;
                bool       Format24 = false;
                bool       Format8  = false;

                if (original_bm.PixelFormat == PixelFormat.Format24bppRgb)
                {
                    Format24 = true;
                    nWidth   = Width * 3;
                }
                else if (original_bm.PixelFormat == PixelFormat.Format32bppArgb || original_bm.PixelFormat == PixelFormat.Format32bppRgb || original_bm.PixelFormat == PixelFormat.Format32bppPArgb)
                {
                    Format32 = true;
                    nWidth   = Width * 4;
                }
                else if (original_bm.PixelFormat == PixelFormat.Format8bppIndexed)
                {
                    Format8 = true;
                    nWidth  = Width;
                }
                int   nOffset = bmd.Stride - nWidth;
                byte *p       = (byte *)bmd.Scan0;
                for (y = 0; y < Height; y++)
                {
                    for (x = 0; x < Width; x++)
                    {
                        if (Format8)
                        {
                            Buffer[y, x].red = Buffer[y, x].green = Buffer[y, x].blue = p[0];
                            p++;
                        }
                        else
                        {
                            Buffer[y, x].red   = p[0];
                            Buffer[y, x].green = p[1];
                            Buffer[y, x].blue  = p[2];
                            if (Format24)
                            {
                                p += 3;
                            }
                            else if (Format32)
                            {
                                p += 4;
                            }
                        }
                    }
                    p += nOffset;
                }
                original_bm.UnlockBits(bmd);
            }

            return(Buffer);
        }
Beispiel #3
0
        /// <summary>
        /// Apply Gaussian smoothing filter to enhance the edge detection
        /// </summary>
        /// <param name="ImageMatrix">Colored image matrix</param>
        /// <param name="filterSize">Gaussian mask size</param>
        /// <param name="sigma">Gaussian sigma</param>
        /// <returns>smoothed color image</returns>
        public static RGBPixel[,] GaussianFilter1D(RGBPixel[,] ImageMatrix, int filterSize, double sigma)
        {
            int Height = GetHeight(ImageMatrix);
            int Width  = GetWidth(ImageMatrix);

            RGBPixelD[,] VerFiltered = new RGBPixelD[Height, Width];
            RGBPixel[,] Filtered     = new RGBPixel[Height, Width];


            // Create Filter in Spatial Domain:
            //=================================
            //make the filter ODD size
            if (filterSize % 2 == 0)
            {
                filterSize++;
            }

            double[] Filter = new double[filterSize];

            //Compute Filter in Spatial Domain :
            //==================================
            double Sum1     = 0;
            int    HalfSize = filterSize / 2;

            for (int y = -HalfSize; y <= HalfSize; y++)
            {
                //Filter[y+HalfSize] = (1.0 / (Math.Sqrt(2 * 22.0/7.0) * Segma)) * Math.Exp(-(double)(y*y) / (double)(2 * Segma * Segma)) ;
                Filter[y + HalfSize] = Math.Exp(-(double)(y * y) / (double)(2 * sigma * sigma));
                Sum1 += Filter[y + HalfSize];
            }
            for (int y = -HalfSize; y <= HalfSize; y++)
            {
                Filter[y + HalfSize] /= Sum1;
            }

            //Filter Original Image Vertically:
            //=================================
            int       ii, jj;
            RGBPixelD Sum;
            RGBPixel  Item1;
            RGBPixelD Item2;

            for (int j = 0; j < Width; j++)
            {
                for (int i = 0; i < Height; i++)
                {
                    Sum.red   = 0;
                    Sum.green = 0;
                    Sum.blue  = 0;
                    for (int y = -HalfSize; y <= HalfSize; y++)
                    {
                        ii = i + y;
                        if (ii >= 0 && ii < Height)
                        {
                            Item1      = ImageMatrix[ii, j];
                            Sum.red   += Filter[y + HalfSize] * Item1.red;
                            Sum.green += Filter[y + HalfSize] * Item1.green;
                            Sum.blue  += Filter[y + HalfSize] * Item1.blue;
                        }
                    }
                    VerFiltered[i, j] = Sum;
                }
            }

            //Filter Resulting Image Horizontally:
            //===================================
            for (int i = 0; i < Height; i++)
            {
                for (int j = 0; j < Width; j++)
                {
                    Sum.red   = 0;
                    Sum.green = 0;
                    Sum.blue  = 0;
                    for (int x = -HalfSize; x <= HalfSize; x++)
                    {
                        jj = j + x;
                        if (jj >= 0 && jj < Width)
                        {
                            Item2      = VerFiltered[i, jj];
                            Sum.red   += Filter[x + HalfSize] * Item2.red;
                            Sum.green += Filter[x + HalfSize] * Item2.green;
                            Sum.blue  += Filter[x + HalfSize] * Item2.blue;
                        }
                    }
                    Filtered[i, j].red   = (byte)Sum.red;
                    Filtered[i, j].green = (byte)Sum.green;
                    Filtered[i, j].blue  = (byte)Sum.blue;
                }
            }

            return(Filtered);
        }