Determination of ceramic microstructure by using optical–digital image processing of SEM images
Keywords:
SEM microscopy, particle size, image processingAbstract
This paper reports the design and implementation of software to ceramographic analysis and quality control in materials science, through image study obtained by scanning electronic microscopy (SEM), of samples polished surface of different ceramics systems. The system is supported on optics-digital image processing to determine: the size of each grain and pore, it roundness and eccentricity as shape factor. This work stands out the use of more efficient techniques of adaptive filtering and edge detection, to the calculus realization for the particle size with high precision, compared with traditional methods encapsulated inside the norms ASTM E112 and E1382. The most outstanding results of this analysis, as the possible application of this system in other investigation areas such as granulometry, oil exploration, geotechnical engineering and thin films are presented in this paper, with superior effectiveness with other commercial software.
PACS: 42.30.Va, 81.20.Ev
MSC: 68U10, 65D19
Downloads
References
Jesús R. Santamaría. Relaciones microestructura–propiedades ferropiezoeléctricas en cerámicas de titanato de plomo modificado. Tesis Doctoral en Ciencias físicas. Universidad Complutense de Madrid, 1994.
William Callister. Materials Science and Engineering. An Introduction, 7 edition, ISBN 978–0–471–73696–7. John Wiley & Sons, 2006.
José María Manero y Francisco Gil Mur. Metalografía, ISBN 8483018047, Ediciones UPC, 2005.
E. E. Underwood. Quantitative Stereology, ISBN 0201076500, Adison Wesley, Reading, 1970.
ASTM Technical Publication 839. Practical Applications of Quantitative Metallography. Symposium sponsored by ASTM Committee E–4 on Metallography and by the International Metallographic Society, Orlando, FL, ISBN 978-0-8031- 4905-2, 1984.
Rafael González and Richard Woods. Digital Image Processing, 3 edition, ISBN 9780131687288, Prentice Hall, 2008.
William K. Pratt. Digital Image Processing, 4 edition, ISBN 978–0–471–76777–0, Wiley–Interscience, 2007.
I. Pitas, Ioannis Pitas and Anastasios N. Venetsanopoulos. Nonlinear digital filters: principles and applications, ISBN 0–7923–9049–0, Kluwer Academic Publishers, 1990.
Harley R. Myler and Arthur R. Weeks. Computer Imaging Recipes In C, ISBN 0131898795, Prentice Hall–Gale, 1993.
Leszek Wojnar. Image analysis: applications in materials engineering, ISBN 978–0–8493–8226–0, CRC Press, 1999.
Luciano da Fontoura and Roberto Marcondes. Shape Analysis and Classification: Theory and Practice, 1 edition, ISBN 0849334934, CRC Press, Inc., 2001.
Jose F. Pertusa Grau. Técnicas de análisis de imagen, ISBN 9788437056678, Universitat de València, 2003.
John W. Branch y Hugo de Jesús Mesa. Caracterización de poros en carbones tratados térmicamente empleando procesamiento digital de imágenes y microscopia asistida por computador. Revista Avances en Sistemas e Informática, ISSN 1657–7663, 1(1), 35–39 (2004).
Downloads
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Plagiarism Detection