ManagedCuda.NPP.NPPImage_8uC3.FilterRowBorder C# (CSharp) Méthode

FilterRowBorder() public méthode

Apply general linear Row convolution filter, with rescaling, in a 1D mask region around each source pixel with border control. Result pixel is equal to the sum of the products between the kernel coefficients (pKernel array) and corresponding neighboring row pixel values in the source image defined by iKernelDim and iAnchorX, divided by iDivisor.
public FilterRowBorder ( NPPImage_8uC3 dest, CudaDeviceVariable Kernel, int nKernelSize, int nAnchor, int nDivisor, NppiBorderType eBorderType ) : void
dest NPPImage_8uC3 Destination image
Kernel CudaDeviceVariable Pointer to the start address of the kernel coefficient array. Coeffcients are expected to be stored in reverse order.
nKernelSize int Length of the linear kernel array.
nAnchor int X offset of the kernel origin frame of reference w.r.t the source pixel.
nDivisor int The factor by which the convolved summation from the Filter operation should be divided. If equal to the sum of coefficients, this will keep the maximum result value within full scale.
eBorderType NppiBorderType The border type operation to be applied at source image border boundaries.
Résultat void
        public void FilterRowBorder(NPPImage_8uC3 dest, CudaDeviceVariable<int> Kernel, int nKernelSize, int nAnchor, int nDivisor, NppiBorderType eBorderType)
        {
            status = NPPNativeMethods.NPPi.LinearFilter1D.nppiFilterRowBorder_8u_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, Kernel.DevicePointer, nKernelSize, nAnchor, nDivisor, eBorderType);
            Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterRowBorder_8u_C3R", status));
            NPPException.CheckNppStatus(status, this);
        }

Same methods

NPPImage_8uC3::FilterRowBorder ( NPPImage_8uC3 dest, CudaDeviceVariable Kernel, int nAnchor, NppiBorderType eBorderType ) : void
NPPImage_8uC3