SoAverageSpaceThicknessQuantification3d engine More...
#include <ImageViz/Engines/ImageAnalysis/Morphometry/SoAverageSpaceThicknessQuantification3d.h>
Classes | |
class | SbAverageSpaceThicknessDetail |
Results details of average space thickness global measure. More... | |
Public Types | |
enum | Model { PARALLEL_PLATE_MODEL = 0, CYLINDER_ROD_MODEL = 1, SPHERE_MODEL = 2 } |
Public Member Functions | |
SoAverageSpaceThicknessQuantification3d () | |
Public Attributes | |
SoSFImageDataAdapter | inObjectImage |
SoSFImageDataAdapter | inMaskImage |
SoSFEnum | model |
SoImageVizEngineAnalysisOutput < SbAverageSpaceThicknessDetail > | outResult |
The SoAverageSpaceThicknessQuantification3d engine measures the structure separation.
For an introduction, see section Morphometry.
This engine measures the structure separation. It represents the thickness of the spaces as defined by binarisation within the image. It can be calculated either from 2D images with model assumptions or directly in 3D. Applying the surface area-based models as for the SoAverageObjectThicknessQuantification3d engine, structure separation is calculated :
Parallel plate model :
Cylinder rod model :
where is total volume of image and is object volume.
Note: Each of the above definitions uses the corresponding definition of SoAverageObjectThicknessQuantification3d using plate or rod model.
Note: In practice in trabecular bone analysis it is unsafe to employ 2D model assumptions, especially because the "plate-like" or "rod-like" character of trabecular bone can change both between bone samples and from one end of a studied bone volume to the other (see SoStructureModelIndexQuantification3d).
SoAverageObjectThicknessQuantification3d, SoObjectLinearDensityQuantification3d, SoFragmentationIndexQuantification.
inObjectImage | NULL |
inMaskImage | NULL |
model | PARALLEL_PLATE_MODEL |
SoAverageSpaceThicknessQuantification3d::SoAverageSpaceThicknessQuantification3d | ( | ) |
Constructor.
The binary image for the mask or empty (command looks for only inside).
This parameter is optional. Default value is NULL. Supported types include: binary image.
The input 3D binary image.
Default value is NULL. Supported types include: binary image.
The trabecular model.
Use enum Model. Default is PARALLEL_PLATE_MODEL
SoImageVizEngineAnalysisOutput<SbAverageSpaceThicknessDetail> SoAverageSpaceThicknessQuantification3d::outResult |
The output measure result.
Default value is NULL.