获取二进制图像的值 1 或 0

Question

我的代码包括：我打开要上传的图像，然后将其转换为灰度图像，然后再转换为二进制图像。但我有一个问题。如何获取二进制图像的值 (0,1) 以便使用 emgucv c# 创建具有该值的矩阵？？

      OpenFileDialog Openfile = new OpenFileDialog();
      if (Openfile.ShowDialog() == DialogResult.OK)
      {
          Image<Gray, Byte> My_Image = new Image<Gray, byte>(Openfile.FileName);
          pictureBox1.Image = My_Image.ToBitmap();

          My_Image = My_Image.ThresholdBinary(new Gray(69), new Gray(255));
          pictureBox2.Image = My_Image.ToBitmap();


      }
  }

Answer 1

第二次发帖

我想我误解了这个问题，很抱歉提供了错误的信息。但我想你可能会从这篇文章中得到一些理解？ Work with matrix in emgu cv

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第一篇文章

通过将 ThresholdBinary() 之后的结果 My_Image 传递给以下函数，您可以拥有关于二进制图像的 0 和 1 数组。

public int[] ZeroOneArray(Image<Gray, byte> binaryImage)
{
    //get the bytes value after Image.ThresholdBinary() 
    //either 0 or 255
    byte[] imageBytes = binaryImage.Bytes;
    //change 255 to 1 and remain 0
    var binary_0_Or_255 = from byteInt in imageBytes select byteInt / 255;
    //convert to array
    int[] arrayOnlyOneOrZero = binary_0_Or_255.ToArray();
    //checking the array content
    foreach (var bin in arrayOnlyOneOrZero)
    {
        Console.WriteLine(bin);
    }
    return arrayOnlyOneOrZero;
}

这是你想要的吗？谢谢

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第三篇文章

通过了解这一点，chris answer in error copying image to array，我为您编写了一个函数，用于将您的 灰度二值图像 转换为 灰度 矩阵图像

public Image<Gray, double> GrayBinaryImageToMatrixImage(Image<Gray, byte> binaryImage)
{
    byte[] imageBytes = binaryImage.Bytes;
    Image<Gray, double> gray_image_div = new Image<Gray, double>(binaryImage.Size);//empty image method one
    //or
    Image<Gray, double> gray_image_div_II = binaryImage.Convert<Gray, double>().CopyBlank();//empty image method two

    //transfer binaryImage array to gray image matrix
    for (int i = 0; i < binaryImage.Width; i++)
    {
            for (int j = 0; j < binaryImage.Height; j++)
            {
                if (imageBytes[i*binaryImage.Width+j] == 0)
                {
                    //grey image only one channel
                    gray_image_div.Data[i, j, 0] = 0;
                }
                else if (imageBytes[i*binaryImage.Width+j] == 255)
                {
                    gray_image_div.Data[i, j, 0] = 255;
                }

            }
        }
        return gray_image_div;
}