Algorithm for Detecting Biological Objects and Assessment of their Parameters for Automated Bioassay

Detecting biological objects (BO) at the micro-and meso-levels and observing their vital functions are important for biodiagnostics of the environment. It can also be the basis for biotesting. In this article we propose an approach for detecting BOs moving in an aquatic environment based on the representation of the background by a mixture of Gaussian distributions, followed by applying a mathematical model of a two-dimensional Markov chain to detect BO contours. To assess the vital functions of BOs, we calculate the following parameters: the number of BOs, their size, movement speed, acceleration and movement trajectory. We present the results of the algorithm on the example of detecting cladocerans Daphnia magna and ciliates Paramecium caudatum in laboratory conditions.

• Publication year

  2023

• Venue

  2023 25th International Conference on Digital Signal Processing and its Applications (DSPA)

• Publication date

  2023-03-29

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/DSPA57594.2023.10113457
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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