/// <summary>
/// Create a Gpu LinearFilter
/// </summary>
/// <param name="kernel">Convolution kernel, single-channel floating point matrix (e.g. Emgu.CV.Matrix). If you want to apply different kernels to different channels, split the gpu image into separate color planes and process them individually</param>
/// <param name="anchor">The anchor of the kernel that indicates the relative position of a filtered point within the kernel. The anchor shoud lie within the kernel. The special default value (-1,-1) means that it is at the kernel center</param>
/// <param name="borderType">Border type. Use REFLECT101 as default.</param>
/// <param name="borderValue">The border value</param>
/// <param name="srcDepth">The depth type of the source image</param>
/// <param name="srcChannels">The number of channels in the source image</param>
/// <param name="dstDepth">The depth type of the dest image</param>
/// <param name="dstChannels">The number of channels in the dest image</param>
public CudaLinearFilter(
DepthType srcDepth, int srcChannels,
DepthType dstDepth, int dstChannels,
IInputArray kernel,
System.Drawing.Point anchor,
CvEnum.BorderType borderType = BorderType.Default, MCvScalar borderValue = new MCvScalar())
{
using (InputArray iaKernel = kernel.GetInputArray())
_ptr = CudaInvoke.cudaCreateLinearFilter(
CvInvoke.MakeType(srcDepth, srcChannels), CvInvoke.MakeType(dstDepth, dstChannels),
iaKernel, ref anchor, borderType, ref borderValue, ref _sharedPtr);
}