Texture Analysis of High-Resolution Electron Microscopy Images of Natural Disordered Carbon

This paper addresses the issue of automated analysis of electron microscopy images of natural disordered carbon. The necessity to develop a computer algorithm is associated with the complex structure of disordered carbon, the elements of which can be ordered graphene layers, pores with amorphous matter, globules, etc. The solution of the problem using a computer algorithm is proposed. In this paper, we propose a solution to the problem using Haralick textural features; the program code is implemented in the Python language. The developed software allowed us to perform qualitative and statistical analysis of sample images, assess the degree of their ordering, and automatically determine the average size of disordered regions. The data obtained can be useful in the construction of models describing the relationship between the internal structure of disordered carbon and its macroscopic physical properties, such as porosity and conductivity.