OPTIMIZATION OF 3D LOCAL ORIENTATION MAP CALCULATION IN THE MATLAB FRAMEWORK


Abstract

This paper presents the development and evaluation of a new approach toward the optimization of 3D local orientation map calculation in the Matlab framework. This new approach can be detailed as: optimize eigenvector calculation for PCA analysis of X-ray micro tomography images of lamellar Titanium alloys image. We use two different methods to find the eigenvector of the largest eigenvalue and compare them with the Matlab built-in function (eigs). The results show a steep decrease of the calculation time using the authors' method compared to the Matlab built-in function.


Keywords

local orientation; PCA analysis; eigenvalue; eigenvector; matrix of inertia

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Published : 2015-06-30


Al Darwich, R., & Babout, L. (2015). OPTIMIZATION OF 3D LOCAL ORIENTATION MAP CALCULATION IN THE MATLAB FRAMEWORK. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(2), 22-24. https://doi.org/10.5604/20830157.1159324

Ranya Al Darwich  raldarwich@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science  Poland
Laurent Babout 
Lodz University of Technology, Institute of Applied Computer Science  Poland