static Mat doKernel(Mat img, Mat kernel)
{
Mat outputImg = new Mat();
int kernel_size = kernel.Cols;
int pad = (kernel_size - 1) / 2;
img.CopyTo(outputImg);
MatOfByte mat = new MatOfByte(outputImg);
var idx = mat.GetIndexer();
MatOfByte kernel_mat = new MatOfByte(kernel);
var kernel_idx = kernel_mat.GetIndexer();
Console.WriteLine(kernel_mat.ToCvMat());
for (int k_row = 0; k_row < kernel_size; k_row++) // k - kernel
{
for (int k_col = 0; k_col < kernel_size; k_col++)
{
Console.WriteLine(kernel_idx[k_row, k_col]);
}
}
float sum = 0;
for (int c_row = pad; c_row < mat.Rows; c_row++) // c- center
{
for (int c_col = pad; c_col < mat.Cols - pad; c_col++)
{
sum = 0;
for (int k_row = 0; k_row < kernel_size; k_row++) // k - kernel
{
for (int k_col = 0; k_col < kernel_size; k_col++)
{
sum += idx[c_row - pad + k_row, c_col - pad + k_col] * kernel_idx[k_row, k_col] *
1 / (kernel_size * kernel_size);
var testShit = idx[c_row - pad + k_row, c_col - pad + k_col].ToString();
var testKernel = kernel_idx[k_row, k_col];
// Console.WriteLine(testShit + " " + testKernel);
}
}
idx[c_row, c_col] = (byte)sum;
}
}
return(outputImg);
}
