The LineApplicator class provides pure virtual functions used by the old applyFiltering functions from the KernelTools class to filter one row of an SubImage and writes it to an output also given by another SubImage. More...

#include <mlLineApplicator.h>

Inheritance diagram for ml::LineApplicator< DATATYPE >:

Public Member Functions
virtual void	applyToLine (TSubImageWithCursor< DATATYPE > , TSubImageWithCursor< DATATYPE > , size_t)
	Method to be overloaded to implement an algorithm which filters a line of the input image.

virtual	~LineApplicator ()
	Virtual destructor. Currently it does nothing.

virtual ImageVector	getNegativeExtent () const
	Returns the negative extent of a kernel used for filtering.

virtual ImageVector	getPositiveExtent () const
	Returns the positive extent of a kernel used for filtering.

Detailed Description

template<typename DATATYPE>
class ml::LineApplicator< DATATYPE >

The LineApplicator class provides pure virtual functions used by the old applyFiltering functions from the KernelTools class to filter one row of an SubImage and writes it to an output also given by another SubImage.

The central method is

applyToLine(TSubImageWithCursor<DATATYPE> *inSubImg, TSubImageWithCursor<DATATYPE> *outSubImg, int numVox)

which applies the filter to a line of numVox voxels in the inSubImg and writes the result to outSubImg. Before doing that in both subimages the cursor position must be set adequately. This is usually done by the old applyFiltering functions from the KernelTools class.

To ensure correct boundary-handling the region accessed by the filter must be provided. This is done by the methods

getNegativeExtent () getPositiveExtent ()

For related code and more information see mlKernelExample.h, mlKernel.h, mlKernelBaseModule.h, mlKernelModule.h, mlKernelEditor.h, mlRankFilter.h, mlExtConvolutionFilter.h, mlKernelMacros, mlKernelTools.h and mlConvolutionFilter.h.