Abstract
In the paper, characteristic features of color images for evolving biological objects are investigated. To create an effective and fast algorithm, the choice of the color space for subsequent processing is justified. A mathematical model of images for localized objects is proposed. Estimates of the accuracy for image segmentation are received.
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Ipatov, Y., Krevetsky, A., Andrianov, Y., Sokolov, B. (2019). Segmentation Algorithm for the Evolutionary Biological Objects Images on a Complex Background. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational and Statistical Methods in Intelligent Systems. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-00211-4_16
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