C# bir resimdeki tum pixel adresiyle renk kodlarını alma

using System.Drawing;

Bitmap img = new Bitmap("*imagePath*");
for (int i = 0; i < img.Width; i++)
{
for (int j = 0; j < img.Height; j++)
{
Color pixel = img.GetPixel(i,j);

if (pixel == *somecondition*)
{
**Store pixel here in a array or list or whatever**
}
}
}

public static class PictureAnalysis
        {
            public static List<Color> TenMostUsedColors { get; private set; }
            public static List<int> TenMostUsedColorIncidences { get; private set; }

            public static Color MostUsedColor { get; private set; }
            public static int MostUsedColorIncidence { get; private set; }

            private static int pixelColor;

            private static Dictionary<int, int> dctColorIncidence;

            public static void GetMostUsedColor(Bitmap theBitMap)
            {
                TenMostUsedColors = new List<Color>();
                TenMostUsedColorIncidences = new List<int>();

                MostUsedColor = Color.Empty;
                MostUsedColorIncidence = 0;

                // does using Dictionary<int,int> here
                // really pay-off compared to using
                // Dictionary<Color, int> ?

                // would using a SortedDictionary be much slower, or ?

                dctColorIncidence = new Dictionary<int, int>();

                // this is what you want to speed up with unmanaged code
                for (int row = 0; row < theBitMap.Size.Width; row++)
                {
                    for (int col = 0; col < theBitMap.Size.Height; col++)
                    {
                        pixelColor = theBitMap.GetPixel(row, col).ToArgb();

                        if (dctColorIncidence.Keys.Contains(pixelColor))
                        {
                            dctColorIncidence[pixelColor]++;
                        }
                        else
                        {
                            dctColorIncidence.Add(pixelColor, 1);
                        }
                    }
                }

                // note that there are those who argue that a
                // .NET Generic Dictionary is never guaranteed
                // to be sorted by methods like this
                var dctSortedByValueHighToLow = dctColorIncidence.OrderByDescending(x => x.Value).ToDictionary(x => x.Key, x => x.Value);

                // this should be replaced with some elegant Linq ?
                foreach (KeyValuePair<int, int> kvp in dctSortedByValueHighToLow.Take(10))
                {
                    TenMostUsedColors.Add(Color.FromArgb(kvp.Key));
                    TenMostUsedColorIncidences.Add(kvp.Value);
                }

                MostUsedColor = Color.FromArgb(dctSortedByValueHighToLow.First().Key);
                MostUsedColorIncidence = dctSortedByValueHighToLow.First().Value;
            }

        }
        public static System.Drawing.Color GetDominantColor(Bitmap bmp)
        {
            if (bmp == null)
            {
                throw new ArgumentNullException("bmp");
            }

            BitmapData srcData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadOnly, bmp.PixelFormat);

            int bytesPerPixel = Image.GetPixelFormatSize(srcData.PixelFormat) / 8;

            int stride = srcData.Stride;

            IntPtr scan0 = srcData.Scan0;

            long[] totals = new long[] { 0, 0, 0 };

            int width = bmp.Width * bytesPerPixel;
            int height = bmp.Height;

            unsafe
            {
                byte* p = (byte*)(void*)scan0;

                for (int y = 0; y < height; y++)
                {
                    for (int x = 0; x < width; x += bytesPerPixel)
                    {
                        totals[0] += p[x + 0];
                        totals[1] += p[x + 1];
                        totals[2] += p[x + 2];
                    }

                    p += stride;
                }
            }

            long pixelCount = bmp.Width * height;

            int avgB = Convert.ToInt32(totals[0] / pixelCount);
            int avgG = Convert.ToInt32(totals[1] / pixelCount);
            int avgR = Convert.ToInt32(totals[2] / pixelCount);

            bmp.UnlockBits(srcData);

            return Color.FromArgb(avgR, avgG, avgB);

        }