作者: Zhangyun Tan , Maxime Moreaud , Olivier Alata , Abdourrahmane M. Atto
DOI: 10.5566/IAS.1624
关键词: High-resolution transmission electron microscopy 、 Residual 、 Brownian motion 、 Biological system 、 Materials science 、 Characterization (materials science) 、 Statistical model 、 Autoregressive model 、 Morphological analysis 、 Mathematical morphology
摘要: This paper addresses the characterization of spatial arrangements fringes in catalysts imaged by High Resolution Transmission Electron Microscopy (HRTEM). It presents a statistical model-based approach for analyzing these fringes. The proposed involves Fractional Brownian Field (FBF) and 2-D AutoRegressive (AR) modeling, as well morphological analysis. originality consists identifying image background an FBF, subtracting this background, modeling residual AR so to capture fringe information and, finally, discriminating from characterizations obtained overall analysis is called ARFBF (Auto-Regressive Field) based morphology characterization.