https://libeldoc.bsuir.by/handle/123456789/54421| Title: | Algebraic Model for Automated Detection of Human’s Fundus Morphometrical Characteristics Abnormal Changes |
| Authors: | Gurevich, I. Yashina, V. |
| Keywords: | материалы конференций;image analysis;descriptive image analysis;mathematical theory of image analysis;human fundus |
| Issue Date: | 2023 |
| Publisher: | BSU |
| Citation: | Gurevich, I. Algebraic Model for Automated Detection of Human’s Fundus Morphometrical Characteristics Abnormal Changes / I. Gurevich, V. Yashina // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 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://libeldoc.bsuir.by/handle/123456789/54421 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Gurevich_Algebraic.pdf | 326.93 kB | Adobe PDF | View/Open |
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