public IImageIterator <T> Offset(int steps)
{
ImageRowIterator <T> result = this;
result.Advance(steps);
return(result);
}
public int Difference(ImageRowIterator <T> rhs)
{
if (image == rhs.image &&
row == rhs.row)
{
return(this.column - rhs.column);
}
throw new ArgumentException();
}
public int Difference(IImageIterator <T> obj)
{
if (obj is ImageRowIterator <T> )
{
ImageRowIterator <T> rhs = (ImageRowIterator <T>)obj;
return(Difference(rhs));
}
throw new ArgumentException();
}
public override bool Equals(object obj)
{
if (obj is ImageRowIterator <T> )
{
ImageRowIterator <T> rhs = (ImageRowIterator <T>)obj;
return(Equals(rhs));
}
return(false);
}
/// <summary>
/// Performs a one dimensional convolution in the x direction
/// </summary>
/// <param name="source"></param>
/// <param name="target"></param>
/// <param name="kernel"></param>
private static void SeparableConvolveX(IImage <double> source, IImage <double> target, Kernel1D kernel)
{
Debug.Assert(kernel.Left <= 0);
Debug.Assert(kernel.Right >= 0);
int w = source.Width;
int h = source.Height;
Debug.Assert(w >= kernel.Right - kernel.Left + 1, "Kernel cannot be longer than line");
for (int y = 0; y < h; ++y)
{
ImageRowIterator <double> rs = source.GetRowIterator(y);
ImageRowIterator <double> rsEnd = source.GetRowIterator(source.Width, y);
ImageRowIterator <double> rt = target.GetRowIterator(y);
ConvolveLine(rs, rsEnd, rt, kernel);
}
}
public bool Equals(ImageRowIterator <T> rhs)
{
return(image == rhs.image && row == rhs.row && column == rhs.column);
}