Multivariate statistical methods for the analysis of microscope image series: applications in materials science-Reference-Cited by-同舟云学术

Multivariate statistical methods for the analysis of microscope image series: applications in materials science

Published:1998-04 Issue:1‐2 Volume:190 Page:2-18
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

Bonnet N.¹

Affiliation:

1. INSERM Unit 314 (IFR 53) and University of Reims (LERI), 21, rue Clément Ader, BP 138, 51685 REIMS Cedex, France

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1365-2818.1998.3250876.x

Reference74 articles.

1. Quantitative interpretation of HRTEM images using multivariate statistics: the case of the (γ,γ′) ‐interface in a Ni base superalloy;Aebersold J.F.;J. Microsc.,1996

2. Foundations of factor analysis of medical image sequences: a unified approach and some practical implications

3. Beucher S.&Meyer F.(1992) The morphological approach to segmentation: the watershed transformation.Mathematical Morphology in Image Processing(ed. by E. R. Dougherty) pp.433–481. Dekker Inc. New York.

4. Two soft relatives of learning vector quantization

5. Processing of images and image series: A tutorial review for chemical microanalysis

Cited by 106 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-perspective study on the evolution behavior of helium bubbles in FeCrVTix medium-entropy alloys;Materials Characterization;2024-10

2. Machine learning for automated experimentation in scanning transmission electron microscopy;npj Computational Materials;2023-12-20

3. “A concise study of radiation-induced lattice strain in fast reactor first-wall materials through coupled computational modeling and experiments”;Nuclear and Particle Physics Proceedings;2023-12

4. Correlating the Nonlinear Roughening and Optical Properties of Anatase Thin Films—A Fractal Geometric Approach;Advanced Theory and Simulations;2023-06-17

5. Automated Experiments of Local Non‐Linear Behavior in Ferroelectric Materials;Small;2022-10-17