} // end of Kirsch
/// <summary>
/// 按 GaussLaplacian 算子进行边缘检测
/// </summary>
/// <param name="b"></param>
/// <returns></returns>
public Bitmap GaussLaplacian(Bitmap b)
{
int[,] kernel =
{
{ -2, -4, -4, -4, -2 },
{ -4, 0, 8, 0, -4 },
{ -4, 8, 24, 8, -4 },
{ -4, 0, 8, 0, -4 },
{ -2, -4, -4, -4, -2 }
};
MatrixNxN m = new MatrixNxN();
m.Kernel = kernel;
return(m.Convolute(b));
} // end of GaussLaplacian
} // end of EdgeDetectHorizontal
/// <summary>
/// 按垂直边缘检测算子进行边缘检测
/// </summary>
/// <param name="b"></param>
/// <returns></returns>
public Bitmap EdgeDetectVertical(Bitmap b)
{
int[,] kernel =
{
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
{ 0, 0, -1, 0, 1, 0, 0 },
};
MatrixNxN m = new MatrixNxN();
m.Kernel = kernel;
return(m.Convolute(b));
} // end of EdgeDetectVertical
} // end of GaussLaplacian
/// <summary>
/// 按水平边缘检测算子进行边缘检测
/// </summary>
/// <param name="b"></param>
/// <returns></returns>
public Bitmap EdgeDetectHorizontal(Bitmap b)
{
int[,] kernel =
{
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ -1, -1, -1, -1, -1, -1, -1 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 0, 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0, 0 },
};
MatrixNxN m = new MatrixNxN();
m.Kernel = kernel;
return(m.Convolute(b));
} // end of EdgeDetectHorizontal
