Abstract
Article proposes the method based on logic programming image recognition in order to solve the diatom selection problem. This method is suitable for diatoms selection, as it allows describing every type of diatoms and performing the search. This analysis is based on the study of micro algae organisms, particularly counting the number of diatoms remaining. Counting is usually performed manually by the microscope operator, so, in this paper, we suggest using the SOQL interpreter to find objects to help the operator to estimate the amount of remaining diatom algae.
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Acknowledgement
The work was carried out with financial support: Russian Foundation for Basic Research (grants №: 18-07-00758-a, 16-07-00411-a, 16-07-00554-a); RAS Presidium Program № 27; Integration program SB RAS, ISC SB RAS. Results are achieved using the Centre of collective usage «Integrated information network of Irkutsk scientific educational complex».
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Avramenko, Y.V., Fedorov, R.K., Firsova, A.D. (2019). Diatom Analysis Using SOQL Language Interpreter. In: Bychkov, I., Voronin, V. (eds) Information Technologies in the Research of Biodiversity. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-11720-7_22
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DOI: https://doi.org/10.1007/978-3-030-11720-7_22
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