The objective of this project has been to develop an approach for imitating physical objects with an underlying stochastic variation. The key assumption is that a set of “natural parameters” can be extracted by a new subdivision algorithm so they reflect what is called the object’s “geometric DNA”. A case study on one hundred wheat grain cross- sections (Triticum aestivum) showed that it was possible to extract thirty-six such parameters and to reuse them for Monte Carlo simulation of “new” stochastic phantoms which possess the same stochastic behavior as the “original” cross-sections.
|Udgivelses sted||Department of Engineering - Mechanical Engineering, Aarhus University|
|Status||Udgivet - 2013|
|Begivenhed||Natural Parameterization - |
Varighed: 1 jan. 2013 → …
|Navn||Technical report ME-TR-5|
|Periode||01/01/13 → …|