Constructor Detail

• SeparableKernelConvolution

  public SeparableKernelConvolution()

Method Detail

• convolution

  public static Convolution<NumericType<?>> convolution(Kernel1D... kernels)

  Return an object, that performs the separable convolution with the given kernel. It additionally allows to set the ExecutorService to use or to query for the required input image size, ...

  A small example how it works:

   
   double[][] values = { { 1, 2, 1 }, { -1, 0, 1 } }; int[] center = { 1, 1 };
   Kernel1D[] sobelKernel = Kernel1D.asymmetric( values, center );
   SeparableKernelConvolution.convolution( sobelKernel ).process( Views.extendBorder( inputImage ), outputImage );
   
   

  See Also:

  Convolution

• convolution1d

  public static Convolution<NumericType<?>> convolution1d(Kernel1D kernel,
                                                          int direction)

  Apply a convolution only in one dimension. For example calculate central differences:

   
   double[] values = { -0.5, 0, 0.5 }; int center = 1;
   Kernel1D[] sobelKernel = Kernel1D.asymmetric( values, center );
   SeparableKernelConvolution.convolution1d( sobelKernel, 0 ).process( Views.extendBorder( inputImage ), outputImage );
   
   

  See Also:

  Convolution

• convolve

  public static void convolve(Kernel1D[] kernels,
                              RandomAccessible<? extends NumericType<?>> source,
                              RandomAccessibleInterval<? extends NumericType<?>> target)

  Convolve source with a separable kernel and write the result to output. In-place operation (source==target) is supported.

  If the target type T is DoubleType, all calculations are done in double precision. For all other target RealTypes float precision is used. General NumericTypes are computed in their own precision. The source type S and target type T are either both RealTypes or both the same type.

  Parameters:

  kernels - an array containing kernels for every dimension.

  source - source image, must be sufficiently padded (use e.g. Views.extendMirrorSingle(RandomAccessibleInterval)) the required source interval.

  target - target image.