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

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Published: Jun 30, 2015
DOI: https://doi.org/10.5604/20830157.1159324
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DOI

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
Laurent Babout

Laurent.babout@p.lodz.pl

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

References

Article Details

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