SoFragmentationIndexQuantification Class Reference
[Morphometry]

SoFragmentationIndexQuantification engine More...

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

Inheritance diagram for SoFragmentationIndexQuantification:

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

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Detailed Description

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 :

Where and are respectively a perimeter and an area. The subscript and 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

FragmentationIndexQuantification {

computeMode	MODE_AUTO
inBinaryImage	NULL
elementSize	3

}

Library references: fragmentation

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Constructor & Destructor Documentation

SoFragmentationIndexQuantification::SoFragmentationIndexQuantification

(

)

Constructor.

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Member Data Documentation

SoSFEnum SoFragmentationIndexQuantification::computeMode

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

Default is MODE_AUTO

SoSFInt32 SoFragmentationIndexQuantification::elementSize

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.

SoSFImageDataAdapter SoFragmentationIndexQuantification::inBinaryImage

The input binary image.

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

SoImageVizEngineAnalysisOutput<SbFragmentationDetail> SoFragmentationIndexQuantification::outResult

The output measure result.

Default value is NULL.

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

• ImageViz/Engines/ImageAnalysis/Morphometry/SoFragmentationIndexQuantification.h