Quantitative and qualitative description of particles is one of the most important tasks in the Electron Microscopy (EM) analysis. In this paper, we present an algorithm for identifying ball-like nanostructures of gahnite in the Transmission Electron Microscopy (TEM) images. Our solution is based on the cross-entropy clustering which allows to count and measure disk-like objects which are not necessary disjoint or with not smooth borders.
number of pulisher's sheets:
0,44
conference:
8th International Conference on Computer Recognition Systems CORES 2013; 2013-05-27; 2013-05-29; Miłków; Polska; indeksowana w Web of Science; indeksowana w Scopus; ;
affiliation:
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej