Analysis of surface structures from videos of low energy electron microscopy

• Grant number: 14/21888-2
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2015
• End date: August 31, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: João Do Espirito Santo Batista Neto
• Grantee: Welinton Andrey Contato
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Low emission electron microscopy is a powerful modality for surface analysis, for it is capable of revealing, in real time, visible phenomenaon videos. However, this investigation on LEEM videos demands a very accurate segmentation throughout the many frames. As a relatively new technique, experts on this field still lack of computational tools that can perform reasonably. Currently, experts take 2 months to run a manual segmentation of an single video alone. This MSc research aims to create a set of well documented routines allowing experts to run the segmentation of structures, particularly droplets and fringes, in a few minutes. To that, it is necessary to understand the sources of noises inherent to the image acquisition. The final goal of this research is: noise modelling and filtering and segmentation of mentioned structures, allowing user interaction during the process. We hope to contribute not only with noise modelling, but also by providing a set of segmentation techniques that are more adequate for such kind of image modality. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CONTATO, WELINTON A.; NAZARE, TIAGO S.; PARANHOS DA COSTA, GABRIEL B.; PONTI, MOACIR; BATISTA NETO, JOAO E. S.; IEEE. Improving Non-Local Video Denoising with Local Binary Patterns and Image Quantization. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2016-01-01. (15/05310-3, 14/21888-2, 15/04883-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

CONTATO, Welinton Andrey. Analysis and video restoration of Low Energy Electron Microscopy. 2016. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.