Detection of Disk-Like Particles in Electron Microscopy Images

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 226)

Abstract

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.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Institute of MathematicsJan Kochanowski UniversityKielcePoland
  2. 2.Faculty of Mathematics and Computer ScienceJagiellonian UniversityKrakówPoland

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