SadViolinMan
SadViolinMan

Reputation: 65

C# Dividing a Matrix into Sub Blocks

I have a matrix from an image 1600x1600. I need to assign this matrix into 4x4 blocks. As an example:

              00 01 02 03
      IMAGE = 04 05 06 07        BLOCK(i) =   00 01       BLOCK(i+1) = 02 03
              08 09 0A 0B                     04 05                    06 07
              0C 0D 0E 0F
                                BLOCK(i+2) = 08 09        BLOCK(i+3) = 0A 0B
                                             0C 0D                   = 0E 0F
  1. Firstly I don't know the image dimensions, the user opens it. I get it later. My test image is 1600x1600. But blocks dimensions are fixed at 4x4. And image dimensions are, let's agree it can be divided by 4 for now...

  2. I don't know how many blocks there will be.

  3. I need to access the row and columns of the blocks later because I will be performing mathematical operations with the blocks later... For example , XOR operation with block(n)[x,y] with block(n+1) [x,y]. So this declaration part, this part of the program is very very important.

I have been stuck at this part of the program for 2 weeks and I can't continue. Please help me. It looks like very simple code but.......

My structure is like this, beginning part

 private void Form1_Load(object sender, EventArgs e)
 {
    Bitmap bmp = new Bitmap("c:\\yavanna.jpg");
    pictureBox1.Image = Image.FromFile("c:\\yavanna.jpg");

    int width = bmp.Width;
    int height = bmp.Height;
    Color p;

    int[,] alpha_map_int = new int[width, height];
    int[,] red_map_int = new int[width, height];
    int[,] green_map_int = new int[width, height];
    int[,] blue_map_int = new int[width, height];
    int[,] grayscale_map_int = new int[width, height];

    string[,] gray_scale_map = new string[width, height];

    string temp_hexValue;

    for (int y = 0; y < height; y++)
    {
        for (int x = 0; x < width; x++)
        {
            //get pixel value
            p = bmp.GetPixel(x, y);

            //extract pixel component ARGB
            int a = p.A;
            alpha_map_int[x, y] = a;

            int r = p.R;
            red_map_int[x, y] = r;

            int g = p.G;
            green_map_int[x, y] = g;

            int b = p.B;
            blue_map_int[x, y] = b;

            // convert to grayscale
            double grayscale = 0.2126 * red_map_int[x,y] + 0.7152 * green_map_int[x, y] + 0.0722 * blue_map_int[x, y];
            grayscale_map_int[x, y] = Convert.ToInt32(grayscale);
            temp_hexValue = Convert.ToString(grayscale_map_int[x, y]);
            gray_scale_map[x, y] = temp_hexValue;
       }
    }

Upvotes: -2

Views: 1404

Answers (2)

Robin Bennett
Robin Bennett

Reputation: 3231

Here's a version of jdweng's answer, that generates 4x4 arrays and handles source arrays that don't divide by 4. You can see why he posted a simplified sample. Any bigger and it would be worth using two more loops to populate the 4x4 array.

'image' is the input, 'bytes4x4' is the output.

List<List<List<byte>>> bytes4x4 = new List<List<List<byte>>>();

for (int row = 0; row<length-3 ; row += 4)
{
    for (int col = 0; col<width-3; col += 4)
    {
        bytes4x4.Add(new List<List<byte>>()  { 
            new List<byte>() { image[row, col], image[row, col + 1], image[row, col + 2], image[row, col + 3]}, 
            new List<byte>() { image[row + 1, col], image[row + 1, col + 1], image[row + 1, col + 2], image[row + 1, col + 3] }, 
            new List<byte>() { image[row + 2, col], image[row + 2, col + 1], image[row + 2, col + 2], image[row + 2, col + 3] },
            new List<byte>() { image[row + 3, col], image[row + 3, col + 1], image[row + 3, col + 2], image[row + 3, col + 3] }
    });
}

This declares and populates 'bytes4x4', which is a long list of two dimensional blocks. Access a block like this:

var block100 = bytes4x4[100];

And use that to get a pixel:

var block100pixelrow1col3 = block100[1][3];

or

var block100pixelrow1col3 = bytes4x4[100][1][3];

Note that these indexs are all zero based, so there's no element [4] in the blocks.

Now I think about it, you might be after a 2-dimensional array of 2-dimensional blocks. If so the code would look like this:

var bytes4x4 = new List<List<List<List<byte>>>>();

for (int row = 0; row<length-3 ; row += 4)
{
    var row = new List<List<List<byte>>>();
    bytes4x4.Add(row);
    for (int col = 0; col<width-3; col += 4)
    {
        row.Add(new List<List<byte>>()  { 
            new List<byte>() { image[row, col], image[row, col + 1], image[row, col + 2], image[row, col + 3]}, 
            new List<byte>() { image[row + 1, col], image[row + 1, col + 1], image[row + 1, col + 2], image[row + 1, col + 3] }, 
            new List<byte>() { image[row + 2, col], image[row + 2, col + 1], image[row + 2, col + 2], image[row + 2, col + 3] },
            new List<byte>() { image[row + 3, col], image[row + 3, col + 1], image[row + 3, col + 2], image[row + 3, col + 3] }
    });
}

Then you could access a block that is 14 rows down and 23 columns across like this:

var block14by23 = bytes4x4[14][23];

Upvotes: 0

jdweng
jdweng

Reputation: 34421

Try following :

       const string FILENAME = @"c:\temp\test.jpg";
        public Form1()
        {
            InitializeComponent();

            Bitmap image = new Bitmap(FILENAME);


            int height = (int)image.Height ;
            int width = (int)image.Width;


            List<List<List<Color>>> bytes = new List<List<List<Color>>>();
            List<List<List<Int32>>> grayscale_map_int = new List<List<List<Int32>>>();


            for (int row = 0; row < height; row += 4)
            {
                for (int col = 0; col < width; col += 4)
                {
                    bytes.Add(new List<List<Color>>()  { 
                         new List<Color>() { image.GetPixel(col, row), image.GetPixel(col + 1, row), image.GetPixel(col + 2, row), image.GetPixel(col + 3, row)} , 
                         new List<Color>() { image.GetPixel(col, row + 1), image.GetPixel(col + 1, row + 1), image.GetPixel(col + 2, row + 1), image.GetPixel(col + 3, row + 1)} , 
                         new List<Color>() { image.GetPixel(col, row + 2), image.GetPixel(col + 1, row + 2), image.GetPixel(col + 2, row + 2), image.GetPixel(col + 3, row + 2)} , 
                         new List<Color>() { image.GetPixel(col, row + 3), image.GetPixel(col + 1, row + 3), image.GetPixel(col + 2, row + 3), image.GetPixel(col + 3, row + 3)} , 
                    });

                    grayscale_map_int.Add(new List<List<Int32>>()  { 
                         new List<Int32>() { GetGrayScale(image.GetPixel(col, row)), GetGrayScale(image.GetPixel(col + 1, row)), GetGrayScale(image.GetPixel(col + 2, row)), GetGrayScale(image.GetPixel(col + 3, row))} , 
                         new List<Int32>() { GetGrayScale(image.GetPixel(col, row + 1)), GetGrayScale(image.GetPixel(col + 1, row + 1)), GetGrayScale(image.GetPixel(col + 2, row + 1)), GetGrayScale(image.GetPixel(col + 3, row + 1))} , 
                         new List<Int32>() { GetGrayScale(image.GetPixel(col, row + 2)), GetGrayScale(image.GetPixel(col + 1, row + 2)), GetGrayScale(image.GetPixel(col + 2, row + 2)), GetGrayScale(image.GetPixel(col + 3, row + 2))} , 
                         new List<Int32>() { GetGrayScale(image.GetPixel(col, row + 3)), GetGrayScale(image.GetPixel(col + 1, row + 3)), GetGrayScale(image.GetPixel(col + 2, row + 3)), GetGrayScale(image.GetPixel(col + 3, row + 3))} , 
                    });

                }
            } 


        }
        public Int32 GetGrayScale(Color color)
        {
            return Convert.ToInt32(0.2126 * color.R + 0.7152 * color.G + 0.0722 * color.B);
        }

Upvotes: 0

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