| genre | Statistics |
| status | stable |
| author | Regina Ochotzki |
| package | MeVisLab/Standard |
| dll | MLFilter2 |
| definition | mlFilter2.def |
| keywords | Box, Counting, Dimension, Fractal, Minkowski |
The module BoxCountingDim calculates the Minkowski-Bouligand dimension of an object that is constituted by voxels with values in a specified range.
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:
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.
| Box Counting Dimension: Float |
| Info: String |
| Lower Threshold: Float |
| Update: Trigger |
| Update Mode: Enum |
| Upper Threshold: Float |
Shows the calculated box-counting dimension.
Sets the upper threshold for defining object voxels.
Sets the lower threshold for defining object voxels.