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https://elib.bsu.by/handle/123456789/306242| Title: | Algebraic Model for Automated Detection of Human’s Fundus Morphometrical Characteristics Abnormal Changes |
| Authors: | Gurevich, Igor Yashina, Vera |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2023 |
| Publisher: | Minsk : BSU |
| Citation: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 237-240. |
| Abstract: | We give the algebraic model of solving the problem of optical coherence tomography angiogram image analysis for automatization of detection of abnormal changes in morphometrical characteristics of human’s fundus. This model deals with a new class of specialized algebras, viz. descriptive image algebras, which is an original mathematical language used to formalize and standardize the processing procedures for image models and transformations over them. Descriptive image algebras are used to describe problems, objects, and transformations involved in extracting information from images |
| URI: | https://elib.bsu.by/handle/123456789/306242 |
| ISBN: | 978-985-881-522-6 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 237-240.pdf | 339,4 kB | Adobe PDF | View/Open |
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