BoxCountingDimension¶
-
MLModule
¶ genre Statistics
author MeVis Medical Solutions AG
package MeVisLab/Standard
dll MLFilter2
definition mlFilter2.def keywords fractal
,minkowski
Purpose¶
The module BoxCountingDim
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 this fractal lying on an evenly-spaced grid, and count how many boxes are required to cover the set. The box-counting dimension is calculated by seeing how this number changes as we make the grid 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.