/// <summary>
/// transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows
/// </summary>
/// <param name="src">The source 2D matrix</param>
/// <param name="dst">The destination vector.
/// Its size and type is defined by dim and dtype parameters</param>
/// <param name="dim">The dimension index along which the matrix is reduced.
/// 0 means that the matrix is reduced to a single row and 1 means that the matrix is reduced to a single column</param>
/// <param name="rtype"></param>
/// <param name="dtype">When it is negative, the destination vector will have
/// the same type as the source matrix, otherwise, its type will be CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), mtx.channels())</param>
public static void Reduce(InputArray src, OutputArray dst, ReduceDimension dim, ReduceTypes rtype, int dtype)
{
if (src == null)
throw new ArgumentNullException("src");
if (dst == null)
throw new ArgumentNullException("dst");
src.ThrowIfDisposed();
dst.ThrowIfNotReady();
NativeMethods.core_reduce(src.CvPtr, dst.CvPtr, (int)dim, (int)rtype, dtype);
dst.Fix();
GC.KeepAlive(src);
}
/// <summary>
/// transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows
/// </summary>
/// <param name="dim">The dimension index along which the matrix is reduced.
/// 0 means that the matrix is reduced to a single row and 1 means that the matrix is reduced to a single column</param>
/// <param name="rtype"></param>
/// <param name="dtype">When it is negative, the destination vector will have
/// the same type as the source matrix, otherwise, its type will be CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), mtx.channels())</param>
/// <returns></returns>
public Mat Reduce(ReduceDimension dim, ReduceTypes rtype, int dtype)
{
var dst = new Mat();
Cv2.Reduce(this, dst, dim, rtype, dtype);
return dst;
}
