This class is a kernel filtering operator, which calculates the standard deviation in the (defined by the kernel) neighborhood of a voxel. More...
#include <mlStdDeviationFilter.h>
Public Member Functions | |
| StdDeviationFilter () | |
| Constructor. | |
| BoolField * | getCalcVarianceFld () |
| If enabled then the variance is calculated instead of the standard deviation. | |
Protected Member Functions | |
| virtual void | calculateOutputImageProperties (int outIndex) |
Computes the output image properties for output outIndex. | |
| CALC_ROW_H () | |
The implementation of the calculateOutputSubImage() method overloaded from Module is done in this macro. | |
| template<typename DATATYPE > | |
| void | calcRow (MLsoffset *indexTab, size_t indexTabSize, MLsoffset srcVoxelOffset, size_t numVox, DATATYPE *inCursor, DATATYPE *outCursor, const ImageVector &) |
| In this virtual template method the filtering of one row needs to be implemented. | |
Detailed Description
This class is a kernel filtering operator, which calculates the standard deviation in the (defined by the kernel) neighborhood of a voxel.
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.
Definition at line 33 of file mlStdDeviationFilter.h.
Constructor & Destructor Documentation
| ml::StdDeviationFilter::StdDeviationFilter | ( | ) |
Constructor.
Initializes the fields, the members and the field connections with the image output.
Note that with the following method calls an additional field interface is created as described in KernelModule and KernelBaseModule:
_createKernelExtentFields();_createImageIntervalFields(0, 1024, true, false);_createKernelIntervalFields(0, 1024, true, false);_createMakeSphericalField();_createExternalKernelFields(true, false);_createKernelInfoField();
Also available are the fields access methods from KernelBaseModule:
Member Function Documentation
| ml::StdDeviationFilter::CALC_ROW_H | ( | ) | [protected] |
The implementation of the calculateOutputSubImage() method overloaded from Module is done in this macro.
It implements page border handling and a dispatcher to call the correct template version of calcRow() with the correct parameters. Note that CALC_ROW_CPP() also needs to be added in the .cpp file.
| void ml::StdDeviationFilter::calcRow | ( | MLsoffset * | indexTab, |
| size_t | indexTabSize, | ||
| MLsoffset | srcVoxelOffset, | ||
| size_t | numVox, | ||
| DATATYPE * | inCursor, | ||
| DATATYPE * | outCursor, | ||
| const ImageVector & | |||
| ) | [protected] |
In this virtual template method the filtering of one row needs to be implemented.
It will be called by the CALC_ROW_H() / CALC_ROW_CPP() macro.
| virtual void ml::StdDeviationFilter::calculateOutputImageProperties | ( | int | outIndex | ) | [protected, virtual] |
Computes the output image properties for output outIndex.
Reimplemented from ml::KernelModule.
| BoolField* ml::StdDeviationFilter::getCalcVarianceFld | ( | ) | [inline] |
If enabled then the variance is calculated instead of the standard deviation.
Default is off (= false).
Definition at line 60 of file mlStdDeviationFilter.h.
The documentation for this class was generated from the following file:
- MeVisLab/Standard/Sources/ML/MLKernel/mlStdDeviationFilter.h
