Academic Journal
Stable descriptors in image recognition tasks
| العنوان: | Stable descriptors in image recognition tasks |
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| المؤلفون: | V. B. Melekhin, V. M. Khachumov |
| المصدر: | Вестник Дагестанского государственного технического университета: Технические науки, Vol 47, Iss 3, Pp 93-100 (2020) |
| بيانات النشر: | Dagestan State Technical University, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Technology |
| مصطلحات موضوعية: | descriptor, metric, invariant, semi-invariant, covariance matrix, image classification, Technology |
| الوصف: | Objective. The objective of the study is to determine various stable characteristics of images (semi-invariants and invariants) as descriptors necessary for the formation of a feature space of standards intended for recognizing images of different nature belonging to different classes of objects. Methods. The authors propose metrics for evaluating the proximity of the recognized image to a given standard in the space of covariance matrices, based on the obtained descriptors as a methodological basis for constructing image recognition methods. Results. The content of the main stages of selecting descriptors for a given class of objects is developed, taking into account the different illumination of the recognized images. The effectiveness of the results obtained is confirmed by experimental studies related to the solution of the problem of recognition of special images - facies. Conclusions. The definition of stable image descriptors as invariants or semi-invariants to zoom and brightness transformations allows solving the problems of facies classification in conditions of the unstable shooting of recognized images. The images can be rotated and shifted in any way. In general, the proposed approach allows developing an effective image recognition system in the presence of various types of interference on the recognized images. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Russian |
| تدمد: | 2073-6185 2542-095X |
| Relation: | https://vestnik.dgtu.ru/jour/article/view/845; https://doaj.org/toc/2073-6185; https://doaj.org/toc/2542-095X |
| DOI: | 10.21822/2073-6185-2020-47-3-93-100 |
| URL الوصول: | https://doaj.org/article/1a1cdee5596e4854b97203b0ad24bf9d |
| رقم الانضمام: | edsdoj.1a1cdee5596e4854b97203b0ad24bf9d |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 20736185 2542095X |
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| DOI: | 10.21822/2073-6185-2020-47-3-93-100 |