Automatic detection of characteristic viscosity points in mineralogical samples

Resultado de la investigación

Resumen

Hot stage microscopy (HSM) is a suitable technique for studying the behavior of mineralogical samples (such as basalt, rocks and glasses) viscosity in relation to temperature. HSM researches observe and analyze images of samples recorded during heating. This paper presents the development of a customized software, which uses digital image processing techniques to automatically detect characteristic viscosity points (CVP) based on a series of images that depict the evolution of the sample as it melts over time. This tool was developed to help determine the temperatures corresponding to CVP together with the HSM technique.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
EditoresMary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas671-676
Número de páginas6
ISBN (versión digital)9781509055104
ISBN (versión impresa)9781509055104
DOI
EstadoPublished - 17 mar 2017

Serie de la publicación

NombreProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications

Huella Profundice en los temas de investigación de 'Automatic detection of characteristic viscosity points in mineralogical samples'. En conjunto forman una huella única.

  • Citar esto

    Matias, I. A. C. (2017). Automatic detection of characteristic viscosity points in mineralogical samples. En M. Yang, H. R. Arabnia, L. Deligiannidis, & L. Deligiannidis (Eds.), Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (pp. 671-676). [7881425] (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2016.0132