OPTIMIZATION OF 3D LOCAL ORIENTATION MAP CALCULATION IN THE MATLAB FRAMEWORK
Ranya Al Darwich
raldarwich@kis.p.lodz.plLodz University of Technology, Institute of Applied Computer Science (Poland)
Laurent Babout
Lodz University of Technology, Institute of Applied Computer Science (Poland)
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 inertiaReferences
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Authors
Ranya Al Darwichraldarwich@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland
Authors
Laurent BaboutLodz University of Technology, Institute of Applied Computer Science Poland
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