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

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)

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

Cited by

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

Authors

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

Authors

Laurent Babout 

Lodz University of Technology, Institute of Applied Computer Science Poland

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