%0 Journal Article
%T ARFBF MORPHOLOGICAL ANALYSIS - APPLICATION TO THE DISCRIMINATION OF CATALYST ACTIVE PHASES
%A Abdourrahmane M. Atto
%A Maxime Moreaud
%A Olivier Alata
%A Zhangyun Tan
%J -
%D 2018
%X This paper addresses the characterization of spatial arrangements of fringes in catalysts imaged by High Resolution Transmission Electron Microscopy (HRTEM). It presents a statistical model-based approach for analyzing these fringes. The proposed approach involves Fractional Brownian Field (FBF) and 2-D AutoRegressive (AR) modeling, as well as morphological analysis. The originality of the approach consists in identifying the image background as an FBF, subtracting this background, modeling the residual by 2-D AR so as to capture fringe information and, finally, discriminating catalysts from fringe characterizations obtained by morphological analysis. The overall analysis is called ARFBF (Auto-Regressive Fractional Brownian Field) based morphology characterization
%K auto-regressive field
%K fractional Brownian field
%K HRTEM imaging
%K mathematical morphology
%K texture analysis
%U https://www.ias-iss.org/ojs/IAS/article/view/1624