BoxCountingDimension¶
-
MLModule
¶ genre Statistics
author MeVis Medical Solutions AG
package MeVisLab/Standard
dll MLFilter2
definition mlFilter2.def keywords fractal
,minkowski
Purpose¶
The module BoxCountingDimension
calculates the Minkowski-Bouligand dimension of an object that is constituted by voxels with values in a specified range.
Details¶
The Minkowski-Bouligand dimension, also known as Minkowski dimension or box-counting dimension, is a way of determining the fractal dimension of a set S in a Euclidean space Rn, or more generally in a metric space (X, d).
To calculate this dimension for a fractal S, imagine the fractal lying on an evenly spaced grid, and count how many boxes are required to cover the set. The box-counting dimension is determined by observing how this number changes as the grid becomes finer.
Suppose that N(ε) is the number of boxes of side length ε required to cover the set. Then, the box-counting dimension is defined as:

Tips¶
Because the algorithm is starting at the original resolution and then recursively bisects the image, the original image extent must be x = y = z = 2n.
Output Fields¶
outCurveList¶
-
name:
outCurveList
, type:
CurveList(MLBase)
¶ A curve that shows the logn (1 / BoxExtension) on the x-axis and logn (numberOfBoxes) on the y-axis.
Also, a line fitted to those points is shown.
For accessing this object via scripting see the Scripting Reference:MLCurveListWrapper
.
Parameter Fields¶
Field Index¶
Box Counting Dimension : Float |
Info : String |
Lower Threshold : Double |
Update : Trigger |
Update Mode : Enum |
Upper Threshold : Double |
Visible Fields¶
Box Counting Dimension¶
-
name:
boxCountingDimension
, type:
Float
, persistent:
no
¶ Shows the calculated box-counting dimension.
Upper Threshold¶
-
name:
objectMax
, type:
Double
, default:
0
, deprecated name:
upperThreshold
¶ Sets the upper threshold for defining object voxels.
Lower Threshold¶
-
name:
objectMin
, type:
Double
, default:
0
, deprecated name:
lowerThreshold
¶ Sets the lower threshold for defining object voxels.