16#if !defined(__mlKernelLineApplicatorBase_H) 
   17#define __mlKernelLineApplicatorBase_H 
   29#define ML_DEBUG_ENV_NAME "ML_KERNELLINEAPPLICATORBASE" 
   62  template <
typename DATATYPE, 
typename KDATATYPE>
 
  122                             size_t )
 override                { _defineIndices(*
inSubImg); };
 
 
  147    virtual void _clearIndices();
 
 
  193  template <
typename DATATYPE, 
typename KDATATYPE>
 
  205  template <
typename DATATYPE, 
typename KDATATYPE>
 
  218  template <
typename DATATYPE, 
typename KDATATYPE>
 
  234  template <
typename DATATYPE, 
typename KDATATYPE>
 
  248      _indexTab     = 
new MLsoffset[_indexTabSize];
 
  251                             ML_NO_MEMORY, 
"Not enough memory. Cannot complete assignment operator correctly!");
 
 
  269  template <
typename DATATYPE, 
typename KDATATYPE>
 
  276    _indexTab = KernelTools::createIndexTab(
inSubImg.getStride(), *_kernel);
 
  279    _srcVoxOffset = KernelTools::calcSrcVoxelOffset(
inSubImg.getStride(), _kernel->getNegativeExtent());
 
  282    _indexTabSize = _kernel->getTabSize();
 
 
  289  template <
typename DATATYPE, 
typename KDATATYPE>
 
  306#undef ML_DEBUG_ENV_NAME 
The KernelLineApplicatorBase class is designed to implement new kernel based filters to be applied to...
 
void applyToLine(TSubImageWithCursor< DATATYPE > *inSubImg, TSubImageWithCursor< DATATYPE > *, size_t) override
Applies the kernel to a row of the input subimage.
 
~KernelLineApplicatorBase() override
Destructor. Frees dynamic members.
 
ImageVector getNegativeExtent() const override
Returns the negative extent of a kernel used for filtering.
 
KernelLineApplicatorBase()
Default constructor.
 
MLsoffset _srcVoxOffset
Offset from origin of kernel in input image to the voxel under the replaced voxel in output image.
 
size_t _indexTabSize
Size of _indexTab. Default is 0.
 
const TKernel< KDATATYPE > * _kernel
Pointer to the kernel used to filter an input page.
 
ImageVector getPositiveExtent() const override
Returns the positive extent of a kernel used for filtering.
 
void setKernel(const TKernel< KDATATYPE > &kernel)
 
const TKernel< KDATATYPE > & getKernel() const
 
MLsoffset * _indexTab
Table and variables defined temporarily while filtering a page.
 
The LineApplicator class provides pure virtual functions used by the old applyFiltering functions fro...
 
This class manages/represents a rectangular 6D image region that is organized linearly in memory.
 
Class to manage a filtering kernel for images.
 
A class that offers a TSubImage with a TSubImageCursor.
 
#define ML_NO_MEMORY
The system does not have enough memory to perform the desired operation; try to reduce application da...
 
#define ML_PRINT_FATAL_ERROR(FUNC_NAME, REASON, HANDLING)
Like ML_PRINT_FATAL_ERROR_DUMP(FUNC_NAME, REASON, HANDLING, RT_OBJ) without a runtime object to be du...
 
Target mlrange_cast(Source arg)
Generic version of checked ML casts.
 
MLint MLsoffset
Signed ML offset type that is a 32-bit signed integer on 32-bit platforms and a 64-bit integer on 64-...