Application of Mathematical Morphology on Nanostructure Image Processing
J. Petrová, M. Mudrová, A. Procházka, J. Fojt
Institute of Chemical Technology, Prague
Abstract
Mathematical morphology is a very effective tool on image segmentation. This paper presents selected methods of mathematical morphology that are applied to the microscopic images of nanomaterials. The first part briefly describes the mathematical background of the fundamental morphological methods, including their application on the test image. The second part contains an application both of binary and grayscale morphological methods on the nanostructure images. The influence of various structure elements is investigated, as well.
Full paper
Session
Algorithms and Computing for Control (Poster)
Reference
Petrová, J.; Mudrová, M.; Procházka, A.; Fojt, J.: Application of Mathematical Morphology on Nanostructure Image Processing. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 18th International Conference on Process Control, Tatranská Lomnica, Slovakia, June 14 – 17, 273–277, 2011.
BibTeX
| @inProceedings{pc2011-049, | ||
| author | = { | Petrov\'a, J. and Mudrov\'a, M. and Proch\'azka, A. and Fojt, J.}, |
| title | = { | Application of Mathematical Morphology on Nanostructure Image Processing}, |
| booktitle | = { | Proceedings of the 18th International Conference on Process Control}, |
| year | = { | 2011}, |
| pages | = { | 273-277}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | Tatransk\'a Lomnica, Slovakia}, |
| publisher | = { | Slovak University of Technology in Bratislava}, |
| url | = { | http://www.kirp.chtf.stuba.sk/pc11/data/papers/049.pdf}} |