SoFractalDimensionQuantification Class Reference
[Morphometry]

ImageViz SoFractalDimensionQuantification engine More...

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

Inheritance diagram for SoFractalDimensionQuantification:
SoImageVizEngine SoEngine SoFieldContainer SoBase SoRefCounter SoTypedObject

List of all members.

Classes

class  SbFractalDetail
 Results details of fractal dimension. More...

Public Member Functions

 SoFractalDimensionQuantification ()

Public Attributes

SoSFEnum computeMode
SoSFImageDataAdapter inBinaryImage
SoSFBool useOnlyBorders
SoImageVizEngineAnalysisOutput
< SbFractalDetail
outResult

Detailed Description

ImageViz SoFractalDimensionQuantification engine

The SoFractalDimensionQuantification engine measures fractal dimension.

For an introduction, see:

This engine computes the fractal dimension of a binary 2D or 3D image. It should be used only if the feature is known as being potentially a fractal one. This is the case of complex and irregular curves which cannot be easily described with traditional geometric tools, and/or for curves which are very similar to a part of themselves at different scales.

2D definition:
The 2D fractal dimension is a number greater than 1 and strictly lower than 2. The result is 1 in case of standard geometric features (straight lines, broken lines, circles, ...). Applied to 2D images the fractal dimension is quite an effective indicator to measure and compare the irregularity and the fragmentation at different magnifications. It is also a good indicator to evaluate how the curve fills the space. The less smooth the curve is, the bigger the fractal dimension.

Caution: Do not use this engine on surfaces but on contours, according to the fractal definition. To be able to compare results, the outlines thickness should be very similar between the studied images and as small as possible so as to keep as much information as possible.

3D definition:
The 3D fractal dimension is a number greater than 2 and strictly lower than 3. The result is 2 in case of standard geometric surfaces (cubes, planes, ellipsoids, ...). Applied to 3D images the fractal dimension is quite an effective indicator to measure and compare the roughness of a surface. It is also a good indicator to evaluate how the curve fills the space. The less smooth the surface is, the bigger the fractal dimension. It can also be interpreted as a quantification of how complex the surface is and how it fills the space.

Caution: Do not use this engine on volumes but on surfaces, according to the fractal definition. To be able to compare results, the surface thickness should be very similar between the studied images and as small as possible so as to keep as much information as possible.

SEE ALSO

SoStructureModelIndexQuantification3d.

FILE FORMAT/DEFAULT


Library references: fractal


Constructor & Destructor Documentation

SoFractalDimensionQuantification::SoFractalDimensionQuantification (  ) 

Constructor.


Member Data Documentation

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

Default is MODE_AUTO

The input binary image.

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

The output measure result.

Default value is NULL.

Select if use only the object borders to compute measure.

Default value is TRUE.


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

Open Inventor Toolkit reference manual, generated on 15 Mar 2023
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