Library/ManagedCuda/NPP/NPPImage_16uC1.cs
/// <summary>
/// Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="Kernel">Pointer to an array of nFilterTaps kernel coefficients which sum to 1.0F, where nFilterTaps =  2 * ((int)((float)ceil(radius) + 0.5F) ) + 1.</param>
Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
public void FilterGauss(NPPImage_16uC1 dst, CudaDeviceVariable<float> Kernel)
		{
			status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterGaussAdvanced_16u_C1R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, Kernel.Size, Kernel.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterGaussAdvanced_16u_C1R", status));
			NPPException.CheckNppStatus(status, this);
		}
public void FilterGauss ( NPPImage_16uC1 dst , CudaDeviceVariable < float > Kernel ) { status = NPPNativeMethods . NPPi . FixedFilters . nppiFilterGaussAdvanced_16u_C1R ( _devPtrRoi , _pitch , dst . DevicePointerRoi , dst . Pitch , _sizeRoi , Kernel . Size , Kernel . DevicePointer ) ; Debug . WriteLine ( String . Format ( " " , DateTime . Now , " " , status ) ) ; NPPException . CheckNppStatus ( status , this ) ; }
Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
dst
NPPImage_16uC1
None
Kernel
CudaDeviceVariable<float>
Pointer to an array of nFilterTaps kernel coefficients which sum to 1.0F, where nFilterTaps =  2 * ((int)((float)ceil(radius) + 0.5F) ) + 1.
Pointer to an array of nFilterTaps kernel coefficients which sum to 1 . 0F where nFilterTaps = 2 * (( int ) (( float ) ceil ( radius ) + 0 . 5F ) ) + 1 .