SoFragmentationIndexQuantification Class Reference
[Morphometry]

ImageViz SoFragmentationIndexQuantification engine More...

#include <ImageViz/Engines/ImageAnalysis/Morphometry/SoFragmentationIndexQuantification.h>

Inheritance diagram for SoFragmentationIndexQuantification:
SoImageVizEngine SoEngine SoFieldContainer SoBase SoRefCounter SoTypedObject

List of all members.

Classes

class  SbFragmentationDetail
 Results details of fragmentation global measure. More...

Public Member Functions

 SoFragmentationIndexQuantification ()

Public Attributes

SoSFEnum computeMode
SoSFImageDataAdapter inBinaryImage
SoSFInt32 elementSize
SoImageVizEngineAnalysisOutput
< SbFragmentationDetail
outResult

Detailed Description

ImageViz SoFragmentationIndexQuantification engine

The SoFragmentationIndexQuantification engine computes an index of relative convexity or concavity of the surface.

For an introduction, see section Morphometry.

This engine computes an indicator of connectivity. It calculates an index of relative convexity or concavity of the surface. This index can be interpreted in mater of connectivity taken into account that concavity indicates connectivity, and that convexity indicates isolated disconnected structures.

The fragmentation index is calculated plane by plane for a 2D image by comparing area and perimeter (or volume and surface, respectively for a 3D image) of binarised image before and after an image dilation. It is defined :

\[ Fragmentation = (\frac{P_b-P_a}{A_b-A_a}) \]

Where $P$ and $A$ are respectively a perimeter and an area. The subscript $a$ and $b$ means for before and after dilation.

Dilation of an highly connected area will narrow spaces and then produce a smaller perimeter. On the other hand, open ends or nodes will have their perimeter expanded by surface dilation. As a result, lower fragmentation index signifies better connected area while higher fragmentation index means a more disconnected structure. In some case, high ratio of enclosed cavities and concave surfaces can result in fragmentation index to negative values.

SEE ALSO

SoAverageObjectThicknessQuantification3d, SoObjectLinearDensityQuantification3d.

FILE FORMAT/DEFAULT


Library references: fragmentation


Constructor & Destructor Documentation

SoFragmentationIndexQuantification::SoFragmentationIndexQuantification (  ) 

Constructor.


Member Data Documentation

Select the compute Mode (2D or 3D or AUTO) Use enum ComputeMode.

Default is MODE_AUTO

The half size of the structuring element.

A structuring element always has an odd side length (3x3, 5x5, etc) which is defined by 2 * elementSize + 1. Default value is 3.

The input binary image.

Default value is NULL. Supported types include: binary color image.

The output measure result.

Default value is NULL.


The documentation for this class was generated from the following file:

Open Inventor Toolkit reference manual, generated on 4 Sep 2023
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