The novel computer aided image processing analysis presented in this paper is used to evaluate the number of bacteria colonies. Proposed algorithm exploits the computer-aided calculations of optical transforms and it is implemented to the analysis of CCD recorded images of bacteria colonies. The diffraction patterns were approximated by the Fourier spectrum and additionally, the Mellin transform was applied to omit the problem of bacteria colonies sizes fluctuations. This approach exploits the properties of Fourier and Mellin transforms for scale and spatial locations invariant analysis. The significant correlation between parameters characterizing the Mellin spectrum and the number of bacteria colonies, was observed. Presented method was used for characterization of sterilization efficiency of antibacterial nanomaterials. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Buzalewicz, I., Wysocka-Król, K., Kowal, K., & Podbielska, H. (2010). Evaluation of antibacterial agents activity. Advances in Intelligent and Soft Computing, 69, 341–351. https://doi.org/10.1007/978-3-642-13105-9_35
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